Publikationen

Reducing the taxon bias in biodiversity data using robots, Nanopore sequencing, and AI identification tools for arthropods
Pylatiuk, C.; Wührl, L.
2023, September. Tropentag (2023), Berlin, Deutschland, 20.–22. September 2023

Broad ranges of investment configurations for renewable power systems, robust to cost uncertainty and near-optimality
Neumann, F.; Brown, T.
2023. iScience, 26 (5), 106702. doi:10.1016/j.isci.2023.106702

A Novel Plenoptic Camera-Based Measurement System for the Investigation into Flight and Combustion Behavior of Refuse-Derived Fuel Particles
Zhang, M.; Vogelbacher, M.; Aleksandrov, K.; Gehrmann, H.-J.; Stapf, D.; Streier, R.; Wirtz, S.; Scherer, V.; Matthes, J.
2023. ACS Omega. doi:10.1021/acsomega.2c08004

Automated Style-aware Selection of Annotated Pre- training Databases in Biomedical Imaging
Molina-Moreno, M.; Schilling, M.; Reischl, M.; Mikut, R.
2023, April 21. 20th IEEE - ISBI International Symposium on Biomedical Imaging (2023), Cartagena, Kolumbien, 18.–21. April 2023

The Role of Spatial Scale in Electricity System Optimisations. Dissertation
Frysztacki, M. M.
2023, April 6. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000157620

Investigations of Ratio-Based Integrated Influence Lines as Features for Bridge-Damage Detection
Döring, A.; Vogelbacher, M.; Schneider, O.; Müller, J.; Hinz, S.; Matthes, J.
2023. Infrastructures, 8 (4). doi:10.3390/infrastructures8040072

Camera based flame stability monitoring and control of multi-burner systems using deep learning based flame detection
Matthes, J.; Waibel, P.; Kollmer, M.; Aleksandrov, K.; Gehrmann, H.-J.; Stapf, D.; Vogelbacher, M.
2023. Thermal Science and Engineering Progress, Artkl.Nr.: 101859. doi:10.1016/j.tsep.2023.101859

Distributed Co-Simulation of Multimodal Energy Systems using eASiMOV : Tutorial 5
Süß, A.-C.; Kovacevic, J.; Cakmak, H.; Hagenmeyer, V.
2023. 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), Institute of Electrical and Electronics Engineers (IEEE)

PyAPI-RTS: A Python-API for RSCAD Modeling
Weber, M.; Enzinger, J.; Çakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2023. 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), Hrsg.: IEEE, International Workshop on Open Source Modelling and Simulation of Energy Systems (OSMSES 2023), Aachen, Deutschland, 27.03.2023–29.03.2023, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES58477.2023.10089671

Introducing PROOF - A PROcess Orchestration Framework for the Automation of Computational Scientific Workflows and Co-Simulations
Liu, J.; Chlosta, M.; Schaber, N.; Sidler, J.; Lutz, R.; Schlachter, T.; Hagenmeyer, V.
2023. 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), Hrsg.: IEEE, International Workshop on Open Source Modelling and Simulation of Energy Systems (OSMSES 2023) Aachen, Deutschland, 27.03.2023–29.03.2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES58477.2023.10089680

Model Diagnostics and Forecast Evaluation for Quantiles
Gneiting, T.; Wolffram, D.; Resin, J.; Kraus, K.; Bracher, J.; Dimitriadis, T.; Hagenmeyer, V.; Jordan, A. I.; Lerch, S.; Phipps, K.; Schienle, M.
2023. Annual Review of Statistics and Its Application, 10. doi:10.1146/annurev-statistics-032921-020240

Microscopic Fluctuations in Power-Grid Frequency Recordings at the Subsecond Scale
Schäfer, B.; Rydin Gorjão, L.; Yalcin, G. C.; Förstner, E.; Jumar, R.; Maass, H.; Kühnapfel, U.; Hagenmeyer, V.
2023. (H. Sayama, Hrsg.) Complexity, 2023, Art.-Nr.: 2657039. doi:10.1155/2023/2657039

Umweltinformationen digital 4.0 - Analyse moderner Technologien für die Erfassung, Haltung und Weitergabe von Umweltdaten
Hahn-Woernle, L.; Schillinger, W.; Schlachter, T.; Doms, N.; Trefzger, M.; Schlegel, T.; Wolf, A.; Preiß, A.
2023. Umweltinformationssysteme – Vielfalt, Offenheit, Komplexität : Tagungsband des 29. Workshops “Umweltinformationssysteme (UIS 2022)“ des Arbeitskreises „Umweltinformationssysteme“ der Fachgruppe „Informatik im Umweltschutz‘‘ der Gesellschaft für Informatik (GI). Hrsg.: F. Fuchs-Kittowski, Springer Vieweg

Oscillating combustion of different fuel types for NOₓ reduction in grate furnaces and coal burners
Jolibois, N.; Gehrmann, H.-J.; Aleksandrov, K.; Hauser, M.; Stapf, D.; Jäger, B.; Wirtz, S.; Scherer, V.; Danz, P.; Matthes, J.; Vogelbacher, M.; Waibel, P.
2023. Fuel, 340, Art.-Nr.: 127504. doi:10.1016/j.fuel.2023.127504

Import options for chemical energy carriers from renewable sources to Germany
Hampp, J.; Düren, M.; Brown, T.
2023. PLOS ONE, 18 (2), Art.-Nr.: e0262340. doi:10.1371/journal.pone.0281380

A Purely Visual Re-ID Approach for Bumblebees (Bombus terrestris)
Borlinghaus, P.; Tausch, F.; Rettenberger, L.
2023. Smart Agricultural Technology, 3, Art.-Nr.: 100135. doi:10.1016/j.atech.2022.100135

Facilitating and Enhancing the Performance of Model Selection for Energy Time Series Forecasting in Cluster Computing Environments. Dissertation
Shahoud, S.
2023, Januar 23. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000154568

Large Volume Reconstruction of Pyrolyzed Origami Cellulose Structure by Automated Section Acquisition for Array Tomography
Hoffmann, J.; Huang, L.
2023. doi:10.5445/IR/1000154756

An In-depth Comparison of Experiment Tracking Tools for Machine Learning Applications
Budras, T.; Blanck, M.; Berger, T.; Schmidt, A.
2023. International Journal on Advances in Software, 15 (3 & 4), 152–164

Demonstration video of the automated section acquisition for Array Tomography
Hoffmann, J.; Huang, L.
2023. doi:10.5445/IR/1000154722

Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
Caspart, R.; Ziegler, S.; Weyrauch, A.; Obermaier, H.; Raffeiner, S.; Schuhmacher, L. P.; Scholtyssek, J.; Trofimova, D.; Nolden, M.; Reinartz, I.; Isensee, F.; Götz, M.; Debus, C.
2023. High Performance Computing. ISC High Performance 2022 International Workshops – Hamburg, Germany, May 29 – June 2, 2022, Revised Selected Papers. Ed.: H. Anzt, 108–121, Springer International Publishing. doi:10.1007/978-3-031-23220-6_8

Repurposing FDA‐Approved Drugs for Temozolomide‐resistant IDH1 Mutant Glioma using High‐Throughput Miniaturized Screening on Droplet Microarray Chip
Cui, H.; Sun, X.; Schilling, M.; Herold-Mende, C.; Reischl, M.; Levkin, P. A.; Popova, A. A.; Turcan, Ş.
2023. Advanced Healthcare Materials. doi:10.1002/adhm.202300591

Early Attack Detection for Securing GOOSE Network Traffic
Elbez, G.; Nahrstedt, K.; Hagenmeyer, V.
2023. IEEE Transactions on Smart Grid. doi:10.1109/TSG.2023.3272749

Random fractal-enabled physical unclonable functions with dynamic AI authentication
Sun, N.; Chen, Z.; Wang, Y.; Wang, S.; Xie, Y.; Liu, Q.
2023. Nature Communications, 14, Article no: 2185. doi:10.1038/s41467-023-37588-5

Effects of Tool Edge Geometry and Cutting Conditions on the Performance Indicators in Dry Turning AISI 1045 Steel
Abbas, A. T.; El Rayes, M. M.; Al-Abduljabbar, A. A.; Ragab, A. E.; Benyahia, F.; Elkaseer, A.
2023. Machines, 11 (3), 397. doi:10.3390/machines11030397

Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking
Bruch, R.; Keller, F.; Böhland, M.; Vitacolonna, M.; Klinger, L.; Rudolf, R.; Reischl, M.
2023. PLOS ONE, 18 (3), Article no: e0283828. doi:10.1371/journal.pone.0283828

Automated high-throughput image processing as part of the screening platform for personalized oncology
Schilling, M. P.; El Khaled El Faraj, R.; Urrutia Gómez, J. E.; Sonnentag, S. J.; Wang, F.; Nestler, B.; Orian-Rousseau, V.; Popova, A. A.; Levkin, P. A.; Reischl, M.
2023. Scientific Reports, 13, Article no: 5107. doi:10.1038/s41598-023-32144-z

Non-Sequential Machine Learning Pipelines with pyWATTS
Heidrich, B.; Phipps, K.; Meisenbacher, S.; Turowski, M.; Neumann, O.; Mikut, R.; Hagenmeyer, V.
2023. Zenodo. doi:10.5281/zenodo.7740850

Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision
Poppenborg, R.; Chlosta, M.; Ruf, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2023. Energies, 16 (6), Art.-Nr.: 2720. doi:10.3390/en16062720

Vapour polishing of fused deposition modelling (FDM) parts: a critical review of different techniques, and subsequent surface finish and mechanical properties of the post-processed 3D-printed parts
Mathew, A.; Kishore, S. R.; Tomy, A. T.; Sugavaneswaran, M.; Scholz, S. G.; Elkaseer, A.; Wilson, V. H.; John Rajan, A.
2023. Progress in Additive Manufacturing. doi:10.1007/s40964-022-00391-7

Temperature-based quality analysis in ultrasonic welding of copper sheets with microstructural joint evaluation and machine learning methods
Schwarz, E. B.; Bleier, F.; Guenter, F.; Mikut, R.; Bergmann, J. P.
2023. Welding in the World. doi:10.1007/s40194-023-01463-0

CFC – Carbon Fibre Cycle Carbonfasern im Kreislauf – Freisetzungsverhalten und Toxizität bei thermischer und mechanischer Behandlung - Poster-Abstracts
Baumann, W.; Bäger, D.; Deußen, O.; Diabaté, S.; Ellermann, N.; Emmerich, R.; Friesen, A.; Fritsch-Decker, S.; Gehrmann, H. J.; Gries, T.; Große, A.; Guth, J.; Hartwig, A.; Hauser, M.; Hofmann, M.; Hufnagel, M.; Kehren, D.; Krug, H. F.; Kühnel, D.; Leis, J.; Mahl, J.; Marquardt, C.; Mattern, A.; Merz, D.; Möller, N.; Nau, K.; Naumann, R.; Plitzko, S.; Schlögel, K.; Stapf, D.; Steinbach, C.; Weiss, C.; Wexler, M.
2023

Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation
Rettenberger, L.; Schilling, M.; Elser, S.; Boehland, M.; Reischl, M.
2023. IEEE Transactions on Biomedical Engineering, 1–11. doi:10.1109/TBME.2023.3252889

Simulation in Additive Manufacturing and Its Implications for Sustainable Manufacturing in the Era of Industry 4.0
Charles, A.; Bayat, M.; Elkaseer, A.; Scholz, S.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 370–377, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_36

Multi-parameter Analysis for High-Precision Inkjet Printing
Elkaseer, A.; Kuchta, M.; Rees, A.; Scholz, S. G.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 378–387, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_37

Introduction and Evaluation of a Project Management Software Tool in the Context of the Administration of Science and Research Projects
Lauth, E.; Scholz, S. G.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 11–20, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_2

Impact of Additive Manufacturing on Supply Chains
Lauth, E.; Scholz, S. G.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 1–10, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_1

Digital, Scalable Manufacturing - A Sustainable Production Scenario Using Collaborative Robotics and Additive Manufacturing
Müller, T.; Schmidt, A.; Scholz, S.; Hagenmeyer, V.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 262–271, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_25

Multi-Objective Optimization of Performance Indicators in Turning of AISI 1045 under Dry Cutting Conditions
Abbas, A. T.; Al-Abduljabbar, A. A.; El Rayes, M. M.; Benyahia, F.; Abdelgaliel, I. H.; Elkaseer, A.
2023. Metals, 13 (1), 96. doi:10.3390/met13010096

Investigation of a simplified photometer design for the measurement of ozone gas concentration
Petani, L.; Barth, R.; Wührl, L.; Sieber, I.; Koker, L.; Reischl, M.; Gengenbach, U.; Pylatiuk, C.
2023. 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 94–99, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IECBES54088.2022.10079356

A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies
Schweikert, J.; Stucky, K.-U.; Süß, W.; Hagenmeyer, V.
2023. Energies, 16 (3), Art.-Nr.: 1444. doi:10.3390/en16031444

Assessing the combination of differential flatness and deterministic automata for controllable hybrid systems
Zahn, F.; Kleinert, T.; Hagenmeyer, V.
2023. 2022 IEEE 61st Conference on Decision and Control (CDC), 2612–2619, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC51059.2022.9993043

Automation of section acquisition for Array Tomography. Dissertation
Hoffmann, J.
2023. Karlsruher Institut für Technologie (KIT)

A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids
Kyesswa, M.; Weber, M.; Wiegel, F.; Wachter, J.; Waczowicz, S.; Kühnapfel, U.; Hagenmeyer, V.
2023. Energy Technology, Art.-Nr.: 2201186. doi:10.1002/ente.202201186

Noise facilitates entrainment of a population of uncoupled limit cycle oscillators
Kumpost, V.; Hilbert, L.; Mikut, R.
2023. Journal of The Royal Society Interface, 20 (198), Art.-Nr.: 20220781. doi:10.1098/rsif.2022.0781

Multi-Day Stochastic Scheduling of Electric Vehicle Charging for Reliability and Convenience
Schwenk, K.; Hagenmeyer, V.; Mikut, R.
2023. IEEE Vehicle Power and Propulsion Conference (VPPC), Merced, California, USA, 1st - 4th November 2022, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VPPC55846.2022.10003402

Development of a Database for the Management and Use of Available Resources in the Field of Sustainable Nanomanufacturing
Marquardt, C.; Scholz, S. G.; Nau, K.; Schmidt, A.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing, SDM 2022, 14th - 16th September 2022. Ed.: S. Scholz, 232–241, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_22

An Approach for Sustainable Knowledge Management and Policy Upstreaming for Industry4.0 in Central Europe
Marquardt, C.; Charles, A. P.; Scholz, S. G.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing, SDM 2022, 14th - 16th September 2022. Ed.: S. Scholz, 242–251, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_23

Knowledge Base Materials Sustainable Science Communication on Advanced Materials
Nau, K.; Espinoza, S.; Krug, H. F.; Marquardt, C.; Mattern, A.; Möller, N.; Steinbach, C.; Kühnel, D.
2023. Sustainable Design and Manufacturing. Ed.: S. G. Scholz, 33–42, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_4

Analytical uncertainty propagation for multi-period stochastic optimal power flow
Bauer, R.; Mühlpfordt, T.; Ludwig, N.; Hagenmeyer, V.
2023. Sustainable Energy, Grids and Networks, 33, Art.-Nr.: 100969. doi:10.1016/j.segan.2022.100969

A Hybrid Learning-Driven Computer Vision Framework for Reverse Engineering via Enhanced 3D Shape Reconstruction
Salem, M.; Elkaseer, A.; Rees, A.; Scholz, S. G.
2023. Proceedings of the Future Technologies Conference (FTC) 2022, Volume 2, 848–861, Springer International Publishing. doi:10.1007/978-3-031-18458-1_58

Critical Assessment of Current State of the Art in Wearable Sensor Nodes with Energy Harvesting Systems for Healthcare Applications
Alattar, A. E.; Elkaseer, A.; Scholz, S.; Mohsen, S.
2023. Proceedings of the Future Technologies Conference (FTC) 2022. Vol.: 3. Ed.: K. Arai, 398–412, Springer International Publishing. doi:10.1007/978-3-031-18344-7_27

Probabilistic load forecasting using post-processed weather ensemble predictions
Ludwig, N.; Arora, S.; Taylor, J. W.
2023. Journal of the Operational Research Society, 74 (3), 1008–1020. doi:10.1080/01605682.2022.2115411

Light-Field Camera Based Spatial Multiple Small Particle Tracking with Post-processing
Zhang, M.; Matthes, J.; Aleksandrov, K.; Gehrmann, H.-J.; Vogelbacher, M.
2023. Advances in Automation, Mechanical and Design Engineering – SAMDE 2021. Ed.: M. Laribi, 95–123, Springer International Publishing. doi:10.1007/978-3-031-09909-0_8

Stability Criteria for Time-Delay Systems from an Insightful Perspective on the Characteristic Equation
Scholl, T. H.; Gröll, L.
2023. IEEE Transactions on Automatic Control, 68 (4), 2352–2359. doi:10.1109/TAC.2022.3174001

Hardware-in-the-loop platforms for the automation and control of future energy systems
Bretschneider, P.; Mikut, R.; Hagenmeyer, V.
2022. at - Automatisierungstechnik, 70 (12), 1031–1033. doi:10.1515/auto-2022-0145

Smart Energy System Control Laboratory : a fully-automated and user-oriented research infrastructure for controlling and operating smart energy systems = Smart Energy System Control Laboratory : hochgradig automatisierte und nutzerorientierte Forschungsinfrastruktur zur Steuerung und zum Betrieb intelligenter Energiesysteme
Wiegel, F.; Wachter, J.; Kyesswa, M.; Mikut, R.; Waczowicz, S.; Hagenmeyer, V.
2022. at - Automatisierungstechnik, 70 (12), 1116–1133. doi:10.1515/auto-2022-0018

Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and Now
Schutera, M.; Rettenberger, L.; Reischl, M.
2022. Zebrafish, 19 (6), 213–217. doi:10.1089/zeb.2022.0027

Multi-Zone Grey-Box Thermal Building Identification with Real Occupants
Frahm, M.; Meisenbacher, S.; Klumpp, E.; Mikut, R.; Matthes, J.; Hagenmeyer, V.
2022. Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, Boston, MA, USA, 09.11.2022-10.11.2022. Ed.: J. Ortiz, 484–487, Association for Computing Machinery (ACM). doi:10.1145/3563357.3567403

Guidance on Versioning of Digital Assets
Buttigieg, P. L.; Cristiano, L.; Curdt, C.; Ishan, A. Z.; Jejkal, T.; Koch, C.; Mannix, O.; Mohr, D. P.; Pirogov, A.; Stucky, K. U.; Helmholtz Metadata Collaboration (HMC)
2022. (S. Lorenz, A. Finke, C. Langenbach, K. Maier-Hein, S. Sandfeld & R. Stotzka, Hrsg.), GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel. doi:10.3289/HMC_publ_04

EasyMLServe: Easy Development of REST Machine Learning Services
Neumann, O.; Schilling, M.; Reischl, M.; Mikut, R.
2022, Dezember. 32. Workshop Computational Intelligence (2022), Berlin, Deutschland, 1.–2. Dezember 2022

A Highspeed‐Camera Based Measurement System for the High‐Pressure Entrained‐Flow Gasification
Matthes, J.; Kollmer, M.; Eberhard, M.; Hagenmeyer, V.; Kolb, T.
2022. Chemical Engineering & Technology, 45 (12), 2313–2322. doi:10.1002/ceat.202200434

Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy
Matuszewska-Iwanicka, A.; Stratmann, B.; Stachs, O.; Allgeier, S.; Bartschat, A.; Winter, K.; Guthoff, R.; Tschoepe, D.; Hettlich, H.-J.
2022. Ophthalmology and Therapy, 11 (6), 2211–2223. doi:10.1007/s40123-022-00574-z

Review of automated time series forecasting pipelines
Meisenbacher, S.; Turowski, M.; Phipps, K.; Rätz, M.; Müller, D.; Hagenmeyer, V.; Mikut, R.
2022. WIREs Data Mining and Knowledge Discovery, 12 (6), Art.Nr. e1475. doi:10.1002/widm.1475

Spatial heterogeneity of air pollution statistics in Europe
He, H.; Schäfer, B.; Beck, C.
2022. Scientific Reports, 12 (1), Artikel-Nr.: 12215. doi:10.1038/s41598-022-16109-2

Machine learning approach towards explaining water quality dynamics in an urbanised river
Schäfer, B.; Beck, C.; Rhys, H.; Soteriou, H.; Jennings, P.; Beechey, A.; Heppell, C. M.
2022. Scientific Reports, 12 (1), Art.-Nr.: 12346. doi:10.1038/s41598-022-16342-9

Droplet Microarray as a Powerful Platform for Seeking New Antibiotics Against Multidrug‐Resistant Bacteria
Lei, W.; Deckers, A.; Luchena, C.; Popova, A.; Reischl, M.; Jung, N.; Bräse, S.; Schwartz, T.; Krimmelbein, I. K.; Tietze, L. F.; Levkin, P. A.
2022. Advanced Biology, 6 (12), Art.-Nr.: 2200166. doi:10.1002/adbi.202200166

In silico identification of two peptides with antibacterial activity against multidrug-resistant Staphylococcus aureus
Oyama, L. B.; Olleik, H.; Teixeira, A. C. N.; Guidini, M. M.; Pickup, J. A.; Hui, B. Y. P.; Vidal, N.; Cookson, A. R.; Vallin, H.; Wilkinson, T.; Bazzolli, D. M. S.; Richards, J.; Wootton, M.; Mikut, R.; Hilpert, K.; Maresca, M.; Perrier, J.; Hess, M.; Mantovani, H. C.; Fernandez-Fuentes, N.; Creevey, C. J.; Huws, S. A.
2022. npj Biofilms and Microbiomes, 8 (1), Artikel-Nr.: 58. doi:10.1038/s41522-022-00320-0

A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure
Schilling, M.; Neumann, O.; Scherr, T.; Cui, H.; Popova, A. A.; Levkin, P. A.; Götz, M.; Reischl, M.
2022. Proceedings of the 7th bwHPC Symposium, 69–74, Kommunikations- und Informationszentrum (kiz). doi:10.18725/OPARU-46069

Characterization of the pace-and-drive capacity of the human sinoatrial node: A 3D in silico study
Amsaleg, A.; Sánchez, J.; Mikut, R.; Loewe, A.
2022. Biophysical Journal, 121 (22), 4247–4259. doi:10.1016/j.bpj.2022.10.020

Striatal encoding of action sequences in normal and hyperactive rats
Tahary, O.; Löffler, K.; Belelovsky, K.; Bar-Gad, I.
2022, November 12. Society for Neuroscience / Annual Meeting (2022), San Diego, CA, USA, 12.–16. November 2022

Dealing with Uncertainty in Future Power Distribution Grid with Reinforcement Learning
Demirel, G.
2022, November 11. International Workshop "Challenges and Opportunities in Modern European Power Systems" (2022), Belfast, Vereinigtes Königreich, 10.–11. November 2022

Helmholtz Metadata Collaboration (HMC) - FAIr Metadata for Energy = FAIRe Metadaten für die Energieforschung
Suess, W.; Schweikert, J.; Stucky, K.-U.; Koubaa, M. A.; Steinmeier, L.; Ballani, F.; Hoyer-Klick, C.
2022, November 8. 6. Jahrestreffen des Forschungsnetzwerks Energiesystemanalyse (2022), Berlin, Deutschland, 8.–9. November 2022

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN
Zhai, J.; Dai, X.; Jiang, Y.; Xue, Y.; Hagenmeyer, V.; Jones, C. N.; Zhang, X.-P.
2022. IEEE Transactions on Power Systems, 37 (6), 4861–4873. doi:10.1109/TPWRS.2022.3155866

Material jetting for advanced applications: A state-of-the-art review, gaps and future directions
Elkaseer, A.; Chen, K. J.; Janhsen, J. C.; Refle, O.; Hagenmeyer, V.; Scholz, S. G.
2022. Additive Manufacturing, 60 (Part A), Art.-Nr.: 103270. doi:10.1016/j.addma.2022.103270

Gas-tight means zero defects - design considerations for thin-walled fluidic devices with overhangs by laser powder bed fusion
Grinschek, F.; Charles, A.; Elkaseer, A.; Klahn, C.; Scholz, S. G.; Dittmeyer, R.
2022. Materials & Design, 223, 111174. doi:10.1016/j.matdes.2022.111174

Secondary control activation analysed and predicted with explainable AI
Kruse, J.; Schäfer, B.; Witthaut, D.
2022. Electric Power Systems Research, 212, Art.-Nr.: 108489. doi:10.1016/j.epsr.2022.108489

Data for - Tracking one in a million: Performance of automated tracking on a large-scale microbial data set (1.0.0) [Data set]
Seiffarth, J.; Blöbaum, L.; Löffler, K.; Scherr, T.; Grünberger, A.; Scharr, H.; Mikut R.; Nöh, K.
2022, Oktober 28. doi:10.5281/zenodo.7260137

Robotic systems for decontamination in hazardous environments : To boldly go where many still work today
Petereit, J.; Bretthauer, G.; Beyerer, J.
2022. at - Automatisierungstechnik, 70 (10), 823–825. doi:10.1515/auto-2022-0121

Knowledge Discovery and Information Retrieval using the Shell
Schmidt, A.
2022, Oktober 24. 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022), Valetta, Malta, 24.–26. Oktober 2022

New Work - Erfahrungen der Piloten - PIlotprojekt von IAI
Zahn, F.
2022. (I. Hartmann-Dietsch & M. Landgraf, Hrsg.)

An Optimization-based Approach for Automated Generation of Residential Low-Voltage Grid Models Using Open Data and Open Source Software
Cakmak, H. K.; Janecke, L.; Weber, M.; Hagenmeyer, V.
2022. 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe54678.2022.9960483

Transformation-optics modeling of 3D-printed freeform waveguides
Nesic, A.; Blaicher, M.; Orlandini, E.; Olariu, T.; Paszkiewicz, M.; Negredo, F.; Kraft, P.; Sukhova, M.; Hofmann, A.; Dörfler, W.; Rockstuhl, C.; Freude, W.; Koos, C.
2022. Optics Express, 30 (21), 38856–38879. doi:10.1364/OE.452243

Use Cases and Tools in HMC Hub Energy
Süß, W.; Stucky, K. U.; Schweikert, J.; Koubaa, M. A.; Ballani, F.; Steinmeier, L.
2022, Oktober 10. doi:10.5281/zenodo.7180896

Use Cases in HMC - from Generation to Reuse of Data
Günther, G.; Schweikert, J.; Mannix, O.; Süß, W.
2022, Oktober 6. doi:10.5281/zenodo.7157694

Combining Miniaturized Chemical Synthesis with Biochemical Screeing for High-Throughput Discovery
Wiedmann, J. J.; Maier, T. C.; Schmidt, S.; Benz, M.; Schilling, M.; Czech, J.; Bärenz, F.; Mors, H.; Reischl, M.; Hopf, C.; Levkin, P. A.
2022, Oktober. Drug Discovery (ELRIG 2022), London, Vereinigtes Königreich, 4.–5. Oktober 2022

Utilizing static corneal landmarks to assess dynamic corneal nerve changes by in vivo large-area confocal microscopy
Bohn, S.; Stache, N.; Sterenczak, K. A.; Sperlich, K.; Allgeier, S.; Köhler, B.; Mikut, R.; Bartschat, A.; Reichert, K.-M.; Guthoff, R. F.; Stachs, O.
2022, September 29. 120. Deutsche Ophthalmologische Gesellschaft e.V.: Kongress (DOG-Kongress 2022), Berlin, Deutschland, 29. September–2. Oktober 2022

Volume registration of in vivo confocal microscopy datasets of the human cornea - a comparison of two novel approaches
Allgeier, S.; Bohn, S.; Kornelius, L.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stachs, O.; Köhler, B.
2022, September 28. 14th Joint Annual Conference of the Austrian (ÖGBMT), German (VDE DGBMT) and Swiss (SSBE) Societies for Biomedical Engineering (BMT 2022), Innsbruck, Österreich, 28.–30. September 2022

Predicting the power grid frequency of European islands
Lund Onsaker, T.; Nygård, H. S.; Gomila, D.; Colet, P.; Mikut, R.; Jumar, R.; Kühnapfel, U.; Maass, H.; Hagenmeyer, V.; Witthaut, D.; Schäfer, B.
2022, September 27. doi:10.48550/arXiv.2209.15414

Droplet Microarray Based Screening Identifies Proteins for Maintaining Pluripotency of hiPSCs
Liu, Y.; Bertels, S.; Reischl, M.; Peravali, R.; Bastmeyer, M.; Popova, A. A.; Levkin, P. A.
2022. Advanced Healthcare Materials, 11 (18), Art.-Nr.: 2200718. doi:10.1002/adhm.202200718

On the Assessment of the Effect of Multiple Process Parameters on the Precision of 3D Inkjet Printing
Elkaseer, A.; Kuchta, M.; Scholz, S. G.
2022. Proceedings of the World Congress on Micro and Nano Manufacturing, 19-22 September 2022, Leuven, Belgium. Ed.: S. Castagne, 126–131, Research Publishing. doi:10.3850/978-981-18-5180-3_RP26-0069

Knowledge Base Materials : Sustainable science communication on advanced materials
Nau, K.
2022, September 15. 9th International Conference on Sustainable Design and Manufacturing (KES SDM-22 2022), Split / Dalmatien, Kroatien, 14.–16. September 2022

An approach for sustainable knowledge management & policy upstreaming for Industry4.0 in Central Europe
Marquardt, C.
2022, September 15. 9th International Conference on Sustainable Design and Manufacturing (KES SDM-22 2022), Split / Dalmatien, Kroatien, 14.–16. September 2022

Development of a Database for the Management and Use of available Resources in the Field of Sustainable Nanomanufacturing
Marquardt, C.
2022, September 15. 9th International Conference on Sustainable Design and Manufacturing (KES SDM-22 2022), Split / Dalmatien, Kroatien, 14.–16. September 2022

Digital, Scalable Manufacturing - A Sustainable Production Scenario Using Collaborative Robotics and Additive Manufacturing
Müller, T.; Schmidt, A.; Scholz, S.; Hagenmeyer, V.
2022, September 14. 9th International Conference on Sustainable Design and Manufacturing (KES SDM-22 2022), Split / Dalmatien, Kroatien, 14.–16. September 2022

Abstractband DOG 2022; Utilizing static corneal landmarks to assess dynamic corneal nerve changes by in vivo large-area confocal microscopy
Bohn, S.; Stache, N.; Sterenczak, K. A.; Sperlich, K.; Allgeier, S.; Köhler, B.; Mikut, R.; Bartschat, A.; Reichert, K.-M.; Guthoff, R., F.; Stachs, O.
2022. Die Ophthalmologie, 119 (S3), 157–344. doi:10.1007/s00347-022-01723-2

Normics: Proteomic Normalization by Variance and Data-Inherent Correlation Structure
Dressler, F. F.; Brägelmann, J.; Reischl, M.; Perner, S.
2022. Molecular & Cellular Proteomics, 21 (9), Article no: 100269. doi:10.1016/j.mcpro.2022.100269

A Critical Review of Neural Networks for the Use with Spectroscopic Data
Schuetzke, J.; Szymanski, N. J.; Ceder, G.; Reischl, M.
2022, August 24. 33rd European Crystallographic Meeting (ECM 2022), Versailles, Frankreich, 23.–27. August 2022

An interpretation of the FAIR principles to guide implementations in the HMC digital ecosystem
Helmholtz Metadata Collaboration (HMC); Buttigieg, P. L.; Curdt, C.; Ishan, A. Z.; Jejkal, T.; Kubin, M.; Mannix, O.; Mohr, D. P.; Pirogov, A.; Port, B.; Stucky, K.-U.
2022. (S. Lorenz, Hrsg.), GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel. doi:10.3289/HMC_publ_01

Scale aware modeling and monitoring of the urban energy chain. Dissertation
Nichersu, A.
2022, August 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000149384

Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision
Poppenborg, R.; Chlosta, M.; Ruf, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2022. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), 33–41, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE55279.2022.9889751

Prediction of Fluorescent Ki67 Staining in 3D Tumor Spheroids
Bruch, R.; Vitacolonna, M.; Rudolf, R.; Reischl, M.
2022. Current Directions in Biomedical Engineering, 8 (2), 305–308. doi:10.1515/cdbme-2022-1078

Annotation Efforts in Image Segmentation can be Reduced by Neural Network Bootstrapping
Rettenberger, L.; Schilling, M.; Reischl, M.
2022. Current Directions in Biomedical Engineering, 8 (2), 329–332. doi:10.1515/cdbme-2022-1084

Impact of Annotation Noise on Histopathology Nucleus Segmentation
Schilling, M. P.; Ahuja, N.; Rettenberger, L.; Scherr, T.; Reischl, M.
2022. Current Directions in Biomedical Engineering, 8 (2), 197–200. doi:10.1515/cdbme-2022-1051

DiversityScanner 4K: A High Resolution Extended Focus Camera Setup as Extension for the DiversityScanner
Wührl, L.; Pylatiuk, C.; Giersch, M.; Meier, R.
2022, Juli 27. HEN­NIGXXXIX (2022), Helsinki, Finnland, 24.–28. Juli 2022

PROOF - Process Orchestration Framework, ICT Platform for Energy System Research
Liu, J.; Schlachter, T.
2022, Juli 21. Exkursion des Instituts für Automation und angewandte Informatik (2022), Karlsruher Institut für Technologie, 20.–21. Juli 2022

How automation, machine learning, and DNA barcoding can accelerate species discovery in “dark taxa”: Robotics and AI
Wührl, L.; Pylatiuk, C.; Rettenberger, L.; Meier, R.
2022, Juli 19. 26th International Congress of Entomology (2022), Helsinki, Finnland, 17.–22. Juli 2022

Automated machine learning for time series forecasting in smart grid applications
Meisenbacher, S.
2022, Juli 14. Jahrestagung des KIT-Zentrums Energie (2022), Karlsruhe, Deutschland, 14.–15. Juli 2022

Ratio-based features for bridge damage detection based on displacement influence line and curvature influence line
Döring, A.; Vogelbacher, M.; Schneider, O.; Müller, J.; Hinz, S.; Matthes, J.
2022. Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability, CRC Press

A Smart Charging Assistant for Electric Vehicles Considering Battery Degradation, Power Grid and User Constraints. Dissertation
Schwenk, K.
2022, Juli 7. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000148141

Science Communication and Research Infrastructures in nanotechnology - current activities from the DaNa Project and the KNMFi
Marquardt, C.; Costa, A.
2022, Juli 5. Sustainable Nanofabrication Joint Networking Event (SUSNANOFAB 2022), Braga, Portugal, 5.–7. Juli 2022

A guideline to document occupant behavior models for advanced building controls
Dong, B.; Markovic, R.; Carlucci, S.; Liu, Y.; Wagner, A.; Liguori, A.; van Treeck, C.; Oleynikov, D.; Azar, E.; Fajilla, G.; Drgoňa, J.; Kim, J.; Vellei, M.; De Simone, M.; Shamsaiee, M.; Bavaresco, M.; Favero, M.; Kjaergaard, M.; Osman, M.; Frahm, M.; Dabirian, S.; Yan, D.; Kang, X.
2022. Building and Environment, 219, Art.-Nr.: 109195. doi:10.1016/j.buildenv.2022.109195

Distributed Control of Charging for Electric Vehicle Fleets Under Dynamic Transformer Ratings
Botkin-Levy, M.; Engelmann, A.; Muhlpfordt, T.; Faulwasser, T.; Almassalkhi, M. R.
2022. IEEE Transactions on Control Systems Technology, 30 (4), 1578–1594. doi:10.1109/TCST.2021.3120494

High-resolution real-world electricity data from three microgrids in the global south
Luh, M.; Phipps, K.; Britto, A.; Wolf, M.; Lutz, M.; Kraft, J.
2022. e-Energy ’22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 496–514, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539763

Modelling power systems as flat hybrid automata for controlled line switching
Zahn, F.; Hagenmeyer, V.
2022. e-Energy ’22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 302–306, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538859

Towards line-restricted dispatchable feeders using probabilistic forecasts for PV-dominated low-voltage distribution grids
Werling, D.; Heidrich, B.; Çakmak, H. K.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 395–400, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538868

Analytical uncertainty propagation and storage usage in a high RES Turkish transmission grid scenario
Bauer, R.; Mühlpfordt, T.; Ludwig, N.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 489–495, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539762

Enhancing anomaly detection methods for energy time series using latent space data representations
Turowski, M.; Heidrich, B.; Phipps, K.; Schmieder, K.; Neumann, O.; Mikut, R.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 208–227, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538851

Adaptively coping with concept drifts in energy time series forecasting using profiles
Heidrich, B.; Ludwig, N.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 459–470, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539759

Occupant-oriented economic model predictive control for demand response in buildings
Frahm, M.; Zwickel, P.; Wachter, J.; Langner, F.; Strauch, P.; Matthes, J.; Hagenmeyer, V.
2022. e-Energy ’22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 354–360, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538864

Herrn Prof. Dr.-Ing. Frank Allgöwer zum 60. Geburtstag
Bretthauer, G.
2022. at - Automatisierungstechnik, 70 (6), 599–600. doi:10.1515/auto-2022-0067

Wandlungsfähige Produktion für die Kreislaufwirtschaft
Beyerer, J.; Bretthauer, G.; Hofmann, C.; Lanza, G.
2022. at - Automatisierungstechnik, 70 (6), 501–503. doi:10.1515/auto-2022-0063

Comparison of Four-Switch Buck-Boost and Dual Active Bridge Converter for DC Microgrid Applications
Ekin, Ö.; Arena, G.; Waczowicz, S.; Hagenmeyer, V.; De Carne, G.
2022, Juni 26. 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022), Kiel, Deutschland, 26.–29. Juni 2022

The DaNa4.0 web-based Knowledge Base Materials – 13 years on reliable risk communication on (nano)materials safety
Nau, K.; Kühnel, D.; Krug, H. F.; Marquardt, C.; Mattern, A.; Möller, N.; Steinbach, C.
2022, Juni 21. NanoWeek and NanoCommons Final Conference “Evolution of Nanosafety and materials sustainability as we transition into Horizon Europe” (2022), Limassol, Zypern, 20.–24. Juni 2022

A common PID Kernel Information Profile for the German Helmholtz Association of Research Centres
Jejkal, T.; Pfeil, A.; Schweikert, J.; Pirogov, A.; Barranco, P. V.; Krebs, F.; Koch, C.; Günther, G.; Curdt, C.; Weinelt, M.
2022, Juni 21. 19th International Data Week / Plenary meeting (RDA 2022), Seoul, Südkorea, 20.–23. Juni 2022

A Purely Visual Re-ID Approach for Bumblebees (Bombus terrestris)
Tausch, F.; Borlinghaus, P.; Rettenberger, L.; Reischl, M.
2022, Juni 19. IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 19.–24. Juni 2022

A universal synthetic dataset for machine learning on spectroscopic data
Schützke, J.; Szymanski, N. J.; Reischl, M.
2022. doi:10.5445/IR/1000148149

FlexKälte: Flexibilisierung vorhandener Kälteanlagen und deren optimierter Einsatz
Dengiz, T.; Frahm, M.; Hofacker, W.; Maaß, H.; Wilferth, M.; Wölfle, D.
2022, Juni 9. 3. Kongress ENERGIEWENDEBAUEN (2022), Wuppertal, Deutschland, 9.–10. Juni 2022

Simulation optomechanischer Wirkzusammenhänge am Beispiel eines Head-Up-Displays und deren experimentelle Verifizierung. Dissertation
Markisch, S.
2022, Juni 9. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000147722

Automating Time Series Analysis Workflows with pyWATTS
Heidrich, B.; Phipps, K.; Neumann, O.; Meisenbacher, S.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2022, Juni. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2022), Dresden, Deutschland, 2.–3. Juni 2022

ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
Quintana, M.; Stoeckmann, T.; Park, J. Y.; Turowski, M.; Hagenmeyer, V.; Miller, C.
2022. Energy and Buildings, 265, Art.-Nr.: 112096. doi:10.1016/j.enbuild.2022.112096

ObiWan-Microbi and microbeSEG: Deep Learning Tools for Microbial Image Analysis
Neumann, O.; Seiffarth, J.; Scherr, T.; Wollenhaupt, B.; Scharr, H.; Kohlheyer, D.; Nöh, K.; Mikut, R.
2022, Mai 31. Helmholtz Imaging Conference (HIP 2022), Berlin, Deutschland, 31. Mai–1. Juni 2022

On the Detection of Cyber-Attacks in the Communication Network of IEC 61850 Electrical Substations. Dissertation
Elbez, G.
2022, Mai 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000146668

Herrn Prof. Henning Tolle zum 90. Geburtstag
Adamy, J.; Bretthauer, G.
2022. at - Automatisierungstechnik, 70 (5), 498–500. doi:10.1515/auto-2022-0055

Domain-Invariant Representation Learning from EEG with Private Encoders
Bethge, D.; Hallgarten, P.; Grosse-Puppendahl, T.; Kari, M.; Mikut, R.; Schmidt, A.; Ozdenizci, O.
2022. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 23-27 May 2022, 1236–1240, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICASSP43922.2022.9747398

High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
Luh, M.; Phipps, K.; Britto, A.; Wolf, M.; Lutz, M.; Kraft, J.
2022, Mai 23. doi:10.5445/IR/1000143466

From Ctrl-F to Information Retrieval : An Excursion into the World of Searching in Text
Schmidt, A.
2022, Mai 22. 14th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2022), Venedig, Italien, 22.–26. Mai 2022

Comparison of Experiment Tracking Frameworks in Machine Learning Environments
Budras, T.; Blanck, M.; Berger, T.; Schmidt, A.
2022. 14th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2022), Venice, I, May 22-26, 2022. Ed.: M. Crowe, International Academy, Research, and Industry Association (IARIA)

James Bond and the DaNa4 knowledge base: Why reliable science communication of nanomaterials and advanced materials is crucial
Mattern, A.; Kühnel, D.; Steinbach, C.; Espinoza, S.; Krug, H. F.; Marquardt, C.; Nau, K.
2022, Mai 16. 32nd Society of Environmental Toxicology and Chemistry Europe : Annual Meeting (SETAC Europe 2022), Kopenhagen, Dänemark, 15.–19. Mai 2022

Hybrid Intrusion Detection System for Smart Grids
Mumrez, A.; Khosravi, H.; Elbez, G.; Hagenmeyer, V.
2022, Mai 4. 1st CyberSecurity in Energy and Production Conference (2022), Karlsruhe, Deutschland, 4. Mai 2022

Preliminary study for an alarm correlation framework based on risk assessment in IEC 61850 substations
Canbolat, S.; Elbez, G.; Hagenmeyer, V.
2022, Mai 4. 1st CyberSecurity in Energy and Production Conference (2022), Karlsruhe, Deutschland, 4. Mai 2022

Binary Exploitation in Industrial Control Systems: Past, Present and Future
Liu, Q.; Bao, K.; Hagenmeyer, V.
2022. IEEE Access, 10, 48242–48273. doi:10.1109/ACCESS.2022.3171922

Speed of technological transformations required in Europe to achieve different climate goals
Victoria, M.; Zeyen, E.; Brown, T.
2022. Joule, 6 (5), 1066–1086. doi:10.1016/j.joule.2022.04.016

Material matters: predicting the core hardness variance in industrialized case hardening of 18CrNi8 [Vorhersage der Kernhärtenvarianz von industriell einsatzgehärtetem 18CrNi8]
Lingelbach, Y.; Waldenmaier, T.; Hagymasi, L.; Mikut, R.; Schulze, V.
2022. Materialwissenschaft und Werkstofftechnik, 53 (5), 576–589. doi:10.1002/mawe.202100249

Assessments of linear power flow and transmission loss approximations in coordinated capacity expansion problems
Neumann, F.; Hagenmeyer, V.; Brown, T.
2022. Applied Energy, 314, Art.-Nr.: 118859. doi:10.1016/j.apenergy.2022.118859

A framework for participation of prosumers in peer-to-peer energy trading and flexibility markets
Khorasany, M.; Shokri Gazafroudi, A.; Razzaghi, R.; Morstyn, T.; Shafie-khah, M.
2022. Applied Energy, 314, Art.-Nr.: 118907. doi:10.1016/j.apenergy.2022.118907

Improving process monitoring of ultrasonic metal welding using classical machine learning methods and process-informed time series evaluation
Schwarz, E. B.; Bleier, F.; Guenter, F.; Mikut, R.; Bergmann, J. P.
2022. Journal of Manufacturing Processes, 77, 54–62. doi:10.1016/j.jmapro.2022.02.057

DiversityScanner: Robotic handling of small invertebrates with machine learning methods
Wührl, L.; Pylatiuk, C.; Giersch, M.; Lapp, F.; Rintelen, T.; Balke, M.; Schmidt, S.; Cerretti, P.; Meier, R.
2022. Molecular ecology resources, 22 (4), 1626–1638. doi:10.1111/1755-0998.13567

Topology-based approximations for contingency constraints in power transmission networks
Shokri Gazafroudi, A.; Neumann, F.; Brown, T.
2022. International journal of electrical power & energy systems, 137, Art.-Nr.: 107702. doi:10.1016/j.ijepes.2021.107702

microbeSEG dataset (1.0) [Data set]
Scherr, T.; Seiffarth, J.; Wollenhaupt, B.; Neumann, O.; Schilling, M.; Kohlheyer, D.; Scharr, H.; Mikut, R.; Nöh, K.
2022, April 28. doi:10.5281/zenodo.6497715

Sector Coupling Between Buildings and Energy System
Hagenmeyer, V.
2022, April 28. Lecture Series Enabling Net Zero (2022), Karlsruher Institut für Technologie, 28. April–28. Juli 2022

Data Science für die Gesundheitsforschung und Industrie 4.0
Mikut, R.
2022, April 28. KIT Business-Club 2022 (2022), Karlsruhe, Deutschland, 28.–29. April 2022

Determination of the aerodynamic properties of refuse derived fuel by computer vision
Streier, R.; Wirtz, S.; Aleksandrov, K.; Gehrmann, H. J.; Stapf, D.; Zhang, M.; Vogelbacher, M.; Matthes, J.; Scherer, V.
2022. Proceedings of the 13th European Conference on Industrial Furnaces and Boilers

Deep learning-based segmentation of overlapping flames in industrial combustion chambers
Vogelbacher, M.; Waibel, P.; Großkopf, J.; Kollmer, M.; Matthes, J.
2022. Proceedings of the13th European Conference on Industrial Furnaces and Boilers

Analysis of spatial flight properties of refuse-derived fuel particles based on a light-field camera system
Zhang, M.; Vogelbacher, M.; Aleksandrov, K.; Gehrmann, H. J.; Stapf, D.; Streier, R.; Wirtz, S.; Scherer, V.; Matthes, J.
2022. Proceedings of the 13th European Conference on Industrial Furnaces and Boilers

A camera-based flame stability controller for non-oscillating and forced-oscillating combustion
Matthes, J.; Waibel, P.; Vogelbacher, M.; Keller, H. B.; Gehrmann, H. J.; Stapf, D.
2022. Proceedings of the 13TH EUROPEAN CONFERENCE ON INDUSTRIAL FURNACES AND BOILERS

VILLASnode-based Co-simulation of Local Energy Communities
Carta, D.; Weber, M.; Glucker, P.; Pesch, T.; Hagenmeyer, V.; Benigni, A.; Kuhnapfel, U.
2022. 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES): April 4–5, 2022, Aachen, Germany, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES54027.2022.9768933

Using Open Data for Modeling and Simulation of the All Electrical Society in eASiMOV
Çakmak, H. K.; Hagenmeyer, V.
2022. 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES54027.2022.9769145

How to Derive and Implement a Minimalistic RC Model from Thermodynamics for the Control of Thermal Parameters for Assuring Thermal Comfort in Buildings
Frahm, M.; Langner, F.; Zwickel, P.; Matthes, J.; Mikut, R.; Hagenmeyer, V.
2022. 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES54027.2022.9769134

Design and experimental setup of a new concept of an aerosol-on-demand print head
Sieber, I.; Zeltner, D.; Ungerer, M.; Wenka, A.; Walter, T.; Gengenbach, U.
2022. Aerosol Science and Technology, 56 (4), 355–366. doi:10.1080/02786826.2021.2022094

Energy informatics – key elements for tomorrow’s energy system
Schmeck, H.; Monti, A.; Hagenmeyer, V.
2022. Communications of the ACM, 65 (4), 58–63. doi:10.1145/3511666

High-Throughput Data Acquisition Platform for Multi-Larvae Touch-Response Behavior Screening of Zebrafish
Wang, Y.; Kanagaraj, N. K.; Pylatiuk, C.; Mikut, R.; Peravali, R.; Reischl, M.
2022. IEEE Robotics and automation letters, 7 (2), 858–865. doi:10.1109/LRA.2021.3134281

Rapid Scalable Distributed Power Flow with Open-Source Implementation
Dai, X.; Cai, Y.; Jiang, Y.; Hagenmeyer, V.
2022

Prof. Dr.-Ing. Jürgen Adamy zum 60. Geburtstag
Bretthauer, G.; Willert, V.
2022. at - Automatisierungstechnik, 70 (3), 312–314. doi:10.1515/auto-2022-0017

Tuning a Distance-Prediction-Based Cell Segmentation
Scherr, T.; Löffler, K.; Schilling, M.; Neumann, O.; Mikut, R.
2022, März 28. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2022), Kalkutta, Indien, 28.–31. März 2022

Methods and Prospects of Machine Learning applied to Challenges in Crystallography
Reischl, M.; Schützke, J.
2022. DGK München

Review of automated time series forecasting pipelines
Meisenbacher, S.; Turowski, M.; Phipps, K.; Rätz, M.; Hagenmeyer, V.; Müller, D.; Mikut, R.
2022. Karlsruher Institut für Technologie (KIT). doi:10.48550/arXiv.2202.01712

What ODE-Approximation Schemes of Time-Delay Systems Reveal about Lyapunov-Krasovskii Functionals
Scholl, T.; Hagenmeyer, V.; Gröll, L.
2022

Real-time large-area imaging of the corneal subbasal nerve plexus
Allgeier, S.; Bartschat, A.; Bohn, S.; Guthoff, R. F.; Hagenmeyer, V.; Kornelius, L.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stache, N.; Stachs, O.; Köhler, B.
2022. Scientific reports, 12, Article no: 2481. doi:10.1038/s41598-022-05983-5

Genetic Algorithm for the Optimal LiDAR Sensor Configuration on a Vehicle
Berens, F.; Elser, S.; Reischl, M.
2022. IEEE sensors journal, 22 (3), 2735–2743. doi:10.1109/JSEN.2021.3136362

Elucidation of dross formation in laser powder bed fusion at down-facing surfaces : Phenomenon-oriented multiphysics simulation and experimental validation
Charles, A.; Bayat, M.; Elkaseer, A.; Thijs, L.; Hattel, J. H.; Scholz, S.
2022. Additive manufacturing, 50, Article no: 102551. doi:10.1016/j.addma.2021.102551

Prof. Dr.-Ing. habil. Jan Lunze zum 70. Geburtstag
Bretthauer, G.
2022. at - Automatisierungstechnik, 70 (1), 102–104. doi:10.1515/auto-2021-0173

Information modelling for urban building energy simulation : A taxonomic review
Malhotra, A.; Bischof, J.; Nichersu, A.; Häfele, K.-H.; Exenberger, J.; Sood, D.; Allan, J.; Frisch, J.; Treeck, C. van; O’Donnell, J.; Schweiger, G.
2022. Building and Environment, 208, Article no: 108552. doi:10.1016/j.buildenv.2021.108552

HMC Community Survey 2021
Arndt, W.; Gerlich, S. C.; Hofmann, V.; Kubin, M.; Kulla, L.; Lemster, C.; Mannix, O.; Nolden, M.; Rink, K.; Schweikert, J.; Shankar, S.; Söding, E.; Steinmeier, L.; Suess, W.
2022. doi:10.7802/2433

Transformer Neural Networks for Building Load Forecasting
Hertel, M.; Ott, S.; Neumann, O.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. 36. Conference on Neural Information Processing Systems (NeurIPS 2022), Online, 28. November–10. Dezember 2023

Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe
Böttcher, P. C.; Rydin Gorjão, L.; Beck, C.; Jumar, R.; Maass, H.; Hagenmeyer, V.; Witthaut, D.; Schäfer, B.
2022. Energy Advances, 2 (1), 91–97. doi:10.1039/D2YA00150K

microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation
Scherr, T.; Seiffarth, J.; Wollenhaupt, B.; Neumann, O.; Schilling, M. P.; Kohlheyer, D.; Scharr, H.; Nöh, K.; Mikut, R.
2022. (A. Imran, Hrsg.) PLOS ONE, 17 (11), Art.-Nr.: e0277601. doi:10.1371/journal.pone.0277601

Simulation of Synthetically Degraded Tracking Data to Benchmark MOT Metrics
Hartmann, M.; Löffler, K.; Mikut, R.
2022. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. Ed.: H. Schulte, 163–180, KIT Scientific Publishing

EasyMLServe: Easy Deployment of REST Machine Learning Services
Neumann, O.; Schilling, M.; Reischl, M.; Mikut, R.
2022. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 11–30, KIT Scientific Publishing

Evaluation of Transformer Architectures for Electrical Load Time-Series Forecasting
Hertel, M.; Ott, S.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.; Neumann, O.
2022. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. Hrsg.: H. Schulte, F. Hoffmann; R. Mikut, 93–110, KIT Scientific Publishing

Multi-stage Inspection of Laser Welding Defects using Machine Learning
Dold, P. M.; Bleier, F.; Boley, M.; Mikut, R.
2022. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 31–52, KIT Scientific Publishing

An adapter-based architecture for evaluating candidate solutions in energy system scheduling
Chlosta, M.; Liu, J.; Poppenborg, R.; Lutz, R.; Förderer, K.; Schlachter, T.; Hagenmeyer, V.
2022. Energy Informatics, 5 (S4), 56. doi:10.1186/s42162-022-00246-z

LCC und LCA des Heizungssystems inkl. PV u. Batterie des Wärmepumpenhauses des EnergyLab
Buchgeister, J.; Pineau, C.; Spatafora, L.; Frahm, M.
2022. Sitzung des KIT Zentrum Energie, Topic "System & Nachhaltigkeit" (2022), Karlsruhe, Deutschland, 17. November 2022

sktime - python toolbox for time series: pipelines and transformers
Kiraly, F.; Heidrich, B.; Parker, M.; Walter, M.
2022. pyDATA Global (2022), Online, 1.–3. Dezember 2022

A comparison of clustering methods for the spatial reduction of renewable electricity optimisation models of Europe
Frysztacki, M. M.; Recht, G.; Brown, T.
2022. Energy Informatics, 5 (1), Art.-Nr.: 4. doi:10.1186/s42162-022-00187-7

Two- and Three-Dimensional Benchmarks for Particle Detection from an Industrial Rotary Kiln Combustion Chamber Based on Light-Field-Camera Recording
Vogelbacher, M.; Zhang, M.; Aleksandrov, K.; Gehrmann, H.-J.; Matthes, J.
2022. Data, 7 (12), 179. doi:10.3390/data7120179

Editorial: Methods and protocols in nanotoxicology
Krug, H. F.; Nau, K.
2022. Frontiers in Toxicology, 4, Art.Nr. 1093765. doi:10.3389/ftox.2022.1093765

14th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2022), Venice, I, May 22-26, 2022. Proceedings
Crowe, M.; Laux, F.; Schmidt, A. (Hrsg.)
2022. International Academy Research and Industry Association (IARIA)

Comparison of Four-Switch Buck-Boost and Dual Active Bridge Converter for DC Microgrid Applications
Ekin, Ö.; Arena, G.; Waczowicz, S.; Hagenmeyer, V.; De Carne, G.
2022. 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PEDG54999.2022.9923074

About Lightweight Code Generation
Schmidt, A.
2022. Web Engineering : 22nd International Conference, ICWE 2022, Bari, Italy, July 5–8, 2022. Ed.: T. Di Noia, 497–500, Springer International Publishing. doi:10.1007/978-3-031-09917-5_43

Demand Response in Smart Districts: Model Predictive Control of Building Cooling
Zwickel, P.; Frahm, M.; Galenzowski, J.; Hafele, K.-H.; Maass, H.; Waczowicz, S.; Hagenmeyer, V.
2022. 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe54678.2022.9960608

Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution
Poppenborg, R.; Khalloof, H.; Chlosta, M.; Hofferberth, T.; Düpmeier, C.; Hagenmeyer, V.
2022. Intelligent Data Engineering and Automated Learning – IDEAL 2022 : 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Ed.: H. Yin, 513–524, Springer International Publishing. doi:10.1007/978-3-031-21753-1_50

Early Detection of GOOSE Denial of Service (DoS) Attacks in IEC 61850 Substations
Elbez, G.; Nahrstedt, K.; Hagenmeyer, V.
2022. IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids 2022. doi:10.1109/SmartGridComm52983.2022.9961042

Comparing human and algorithmic anomaly detection for HVAC systems applications
Borrison, R.; Syndicus, M.; Orth, A.; Markovic, R.; Dix, M.; Liguori, A.; Berning, M.; Wagner, A.; Van Treeck, C.
2022. Conference Proceedings: 2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService), 155–160, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigDataService55688.2022.00032

Exploiting Multiple EEG Data Domains with Adversarial Learning
Bethge, D.; Hallgarten, P.; Ozdenizci, O.; Mikut, R.; Schmidt, A.; Grosse-Puppendahl, T.
2022. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 3154–3158, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EMBC48229.2022.9871743

Utilizing static corneal landmarks to assess dynamic corneal nerve changes by in vivo large-area confocal microscopy
Bohn, S.; Stache, N.; Sterenczak, K. A.; Sperlich, K.; Allgeier, S.; Köhler, B.; Mikut, R.; Bartschat, A.; Reichert, K.-M.; Guthoff, R. F.; Stachs, O.
2022. Der Ophthalmologe, 119 (Suppl 3), 170

Hardware Realization of Participants in an Energy Packet-based Power Grid
Schulz, D.; Schneider, K.; Weßbecher, M.; Hagenmeyer, V.; Zitterbart, M.; Hiller, M.
2022. IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PEDG54999.2022.9923290

3D Refuse-derived Fuel Particle Tracking-by-Detection Using a Plenoptic Camera System
Zhang, M.; Vogelbacher, M.; Hagenmeyer, V.; Aleksandrov, K.; Gehrmann, H.-J.; Matthes, J.
2022. IEEE Transactions on Instrumentation and Measurement, 71, Art.Nr. 5024815. doi:10.1109/TIM.2022.3217858

Fast Grid State Estimation for Power Networks: An Ensemble Machine Learning Approach
Shahoud, S.; Khalloof, H.; Khalouf, R.; Düpmeier, C.; Cakmak, H. K.; Forderer, K.; Hagenmeyer, V.
2022. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), 12–18, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE55279.2022.9889763

Modularer Baukasten für die Erstellung anwendungsspezifischer Greiffinger: Greiferfinger für eine schnelle Rekonfiguration
Friedmann, M.; Schabel, S.; Gerber, J.; Döhring, A.; Meschter, L.; Fleischer, J.; May, M.
2022. wt Werkstattstechnik online, 112 (09), 629–634. doi:10.37544/1436-4980-2022-09-101

Data Fusion and State Estimation Using Belief Propagation in Gas Distribution Networks
Demirel, G.; Jongh, S. de; Müller, F.; Leibfried, T.
2022. 57th International Universities Power Engineering Conference, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC55022.2022.9917770

Quantitative downhill skiing technique analysis according to ski instruction curricula: A proof-of-concept study applying principal component analysis on wearable sensor data
Debertin, D.; Wachholz, F.; Mikut, R.; Federolf, P.
2022. Frontiers in Bioengineering and Biotechnology, 10, Art.Nr. 1003619. doi:10.3389/fbioe.2022.1003619

Understanding Braess’ Paradox in power grids
Schäfer, B.; Pesch, T.; Manik, D.; Gollenstede, J.; Lin, G.; Beck, H.-P.; Witthaut, D.; Timme, M.
2022. doi:10.48550/arXiv.2209.13278

A Photovoltaic System Model Integration FAIR Digital Objects and Ontologies
Schweikert, J.; Stucky, U.; Süß, W.; Hagenmeyer, V.
2022. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 10-12 August 2022, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE55279.2022.9889768

Realizing FAIR Digital Objects for the German Helmholtz Association of Research Centres
Jejkal, T.; Pfeil, A.; Schweikert, J.; Pirogov, A.; Barranco, P.; Krebs, F.; Koch, C.; Guenther, G.; Curdt, C.; Weinelt, M.
2022. Research Ideas and Outcomes, 8, Art.Nr. e94758. doi:10.3897/rio.8.e94758

Implementation of a Photovoltaic System Model Using FAIR Digital Objects
Schweikert, J.; Stucky, K.-U.; Koubaa, M. A.; Süß, W.; Hagenmeyer, V.
2022. Research Ideas and Outcomes, 8, Art.-nr.: e93929. doi:10.3897/rio.8.e93929

HMC Community Survey: A Survey on research data management practices among researchers in the Helmhotz-Association
Gerlich, S.; Hofmann, V.; Kubin, M.; Lemster, C.; Mannix, O.; Rink, K.; Schweikert, J.; Shankar, S.; Söding, E.; Steinmeier, L.; Süß, W.
2022. doi:10.7803/2433

Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision
Poppenborg, R.; Chlosta, M.; Ruf, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2022. 10th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2022), Oshawa, Kanada, 10.–12. August 2022

Understanding Braess’ Paradox in power grids
Schäfer, B.; Pesch, T.; Manik, D.; Gollenstede, J.; Lin, G.; Beck, H.-P.; Witthaut, D.; Timme, M.
2022. Nature Communications, 13 (1), Art.-Nr.: 5396. doi:10.1038/s41467-022-32917-6

Rapid Scalable Distributed Power Flow with Open-Source Implementation
Dai, X.; Cai, Y.; Jiang, Y.; Hagenmeyer, V.
2022. IFAC-PapersOnLine, 55 (13), 145–150. doi:10.1016/j.ifacol.2022.07.250

Experimental Setup for Evaluation of Medical Ozone Gas Sensors
Petani, L.; Wickersheim, D.; Koker, L.; Reischl, M.; Gengenbach, U.; Pylatiuk, C.
2022. 2022 IEEE Sensors Applications Symposium (SAS), 1st - 3rd August 2022, Sundsvall, Sweden, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SAS54819.2022.9881340

Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022
Schulte, H.; Hoffmann, F.; Mikut, R. (Hrsg.)
2022. doi:10.5445/KSP/1000151141

Inferring Topology of Networks With Hidden Dynamic Variables
Schmidt, R.; Haehne, H.; Hillmann, L.; Casadiego, J.; Witthaut, D.; Schafer, B.; Timme, M.
2022. IEEE Access, 10, 76682–76692. doi:10.1109/ACCESS.2022.3191665

Non-Invasive Data Acquisition and IoT Solution for Human Vital Signs Monitoring: Applications, Limitations and Future Prospects
Salem, M.; Elkaseer, A.; El-Maddah, I. A. M.; Youssef, K. Y.; Scholz, S. G.; Mohamed, H. K.
2022. Sensors, 22 (17), Art.Nr. 6625. doi:10.3390/s22176625

Development and Validation of Grey-Box Multi-Zone Thermal Building Models
Frahm, M.; Klumpp, E.; Meisenbacher, S.; Matthes, J.; Mikut, R.; Hagenmeyer, V.
2022. Proceedings of BauSim Conference 2022 : 9th Conference of IBPSA-Germany and Austria, 20-22 September 2022, Bauhaus Universität Weimar. C. Völker, 346–351, International Building Performance Simulation Association (IBPSA). doi:10.26868/29761662.2022.22

Boost short-term load forecasts with synthetic data from transferred latent space information
Heidrich, B.; Mannsperger, L.; Turowski, M.; Phipps, K.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. DACH+ Conference on Energy Informatics German Federal Ministry for Economic Affairs and Energy

Boost short-term load forecasts with synthetic data from transferred latent space information
Heidrich, B.; Mannsperger, L.; Turowski, M.; Phipps, K.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. Energy Informatics, 5 (S1), Article no: 20. doi:10.1186/s42162-022-00214-7

Net load forecasting using different aggregation levels
Beichter, M.; Phipps, K.; Frysztacki, M. M.; Mikut, R.; Hagenmeyer, V.; Ludwig, N.
2022. Energy Informatics, 5 (S1), Article no: 19. doi:10.1186/s42162-022-00213-8

EmbedTrack—Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths
Löffler, K.; Mikut, R.
2022. IEEE Access, 10, 77147–77157. doi:10.1109/ACCESS.2022.3192880

BCFViewer – BIM Collaboration Format tool development
Lourenzi, F.; Geiger, A.
2022. Proceedings of 33. ForumBauinformatik, 07. – 09. September 2022, Technische Universität München. Hrsg.: M. Slepicka, 343 – 350

Integration of Monitoring Data into a Virtual 3D Campus Model
Häfele, K.-H.; Geiger, A.; Kaiser, F.-J.; Hagenmeyer, V.
2022. Bauhaus-Universität Weimar

Usage Profile Enrichment of CityGML Models for Urban Building Energy Modeling
Geiger, A.; Nichersu, A.; Häfele, K.-H.; Hagenmeyer, V.
2022. Bauhaus Universität Weimar

Automated floorplan generation using mathematical optimization
Zhong, Y.; Geiger, A.
2022. 14th European Conference on Product and Process Modelling, Norwegian University of Science and Technology (NTNU)

KaIDA: a modular tool for assisting image annotation in deep learning
Schilling, M. P.; Schmelzer, S.; Klinger, L.; Reischl, M.
2022. Journal of Integrative Bioinformatics, 19 (4), 20220018. doi:10.1515/jib-2022-0018

Ciscnet - a Single-Branch Cell Nucleus Instance Segmentation and Classification Network
Böhland, M.; Neumann, O.; Schilling, M. P.; Reischl, M.; Mikut, R.; Loffler, K.; Scherr, T.
2022. 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISBIC56247.2022.9854734

Data-driven load profiles and the dynamics of residential electricity consumption
Anvari, M.; Proedrou, E.; Schäfer, B.; Beck, C.; Kantz, H.; Timme, M.
2022. Nature Communications, 13 (1), Art.-Nr.: 4593. doi:10.1038/s41467-022-31942-9

Effect of Process Parameters on the Performance of Drop-On-Demand 3D Inkjet Printing: Geometrical-Based Modeling and Experimental Validation
Elkaseer, A.; Schneider, S.; Deng, Y.; Scholz, S. G.
2022. Polymers, 14 (13), Art.-Nr.: 2557. doi:10.3390/polym14132557

Entwicklung und Evaluation eines Simulators für die endoskopische Nasennebenhöhlenoperation
Pößneck, A.; Ludwig, A. A.; Burgert, O.; Nowatius, E.; Maaß, H.; Çakmak, H.; Dietz, A.
2022. Laryngo-Rhino-Otologie, 101 (10), 805–813. doi:10.1055/a-1841-6328

A Mode-Based Averaged Power Converter Model for Large Transients
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2022. IFAC-PapersOnLine, 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, Vienna Austria, 27–29 July 2022, Ed.: A. Kugi, 55 (20), 367–372. doi:10.1016/j.ifacol.2022.09.122

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks
Heidrich, B.; Turowski, M.; Phipps, K.; Schmieder, K.; Süß, W.; Mikut, R.; Hagenmeyer, V.
2022. Applied Intelligence, 53 (8), 8826–8843. doi:10.1007/s10489-022-03742-7

Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments
Khalloof, H.; Ciftci, S.; Shahoud, S.; Duepmeier, C.; Foerderer, K.; Hagenmeyer, V.
2022. GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Ed.: J. E. Fieldsend, 2001–2008, Association for Computing Machinery (ACM). doi:10.1145/3520304.3533997

Validation Methods for Energy Time Series Scenarios From Deep Generative Models
Cramer, E.; Gorjao, L. R.; Mitsos, A.; Schafer, B.; Witthaut, D.; Dahmen, M.
2022. IEEE Access, 10, 8194–8207. doi:10.1109/ACCESS.2022.3141875

Secondary frequency control stabilising voltage dynamics
Tchuisseu, E. B. T.; Dongmo, E.-D.; Procházka, P.; Woafo, P.; Colet, P.; Schäfer, B.
2022. European Journal of Applied Mathematics, 34 (3), 467–483. doi:10.1017/S095679252100036X

Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid
Rydin Gorjao, L.; Vanfretti, L.; Witthaut, D.; Beck, C.; Schäfer, B.
2022. IEEE Access, 10, 18065–18073. doi:10.1109/ACCESS.2022.3150338

Modelling and Simulation of an Aerosol-on-Demand Print Head with Computational Fluid Dynamics
Ungerer, M.; Zeltner, D.; Wenka, A.; Gengenbach, U.; Sieber, I.
2022. Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2022), July 14-16, 2022, in Lisbon, Portugal. Ed.: Gerd Wagner, 44–51, SciTePress. doi:10.5220/0011258100003274

Part Tailoring in Metal-Additive Manufacturing: A Step towards Functionally Graded Customized Stainless-Steel Components Using Laser Powder Bed Fusion
Elkaseer, A.; Charles, A.; Schneider, S.; Scholz, S. G.
2022. Applied Sciences, 12 (12), Art.Nr. 6193. doi:10.3390/app12126193

Assessment of dynamic corneal nerve changes using static landmarks by in vivo large-area confocal microscopy—a longitudinal proof-of-concept study
Stache, N.; Sterenczak, K. A.; Sperlich, K.; Marfurt, C. F.; Allgeier, S.; Köhler, B.; Mikut, R.; Bartschat, A.; Reichert, K.-M.; Guthoff, R. F.; Stachs, A.; Stachs, O.; Bohn, S.
2022. Quantitative Imaging in Medicine and Surgery, 12 (10), 4734–4746. doi:10.21037/qims-22-15

Modeling and Generating Synthetic Anomalies for Energy and Power Time Series
Turowski, M.; Weber, M.; Neumann, O.; Heidrich, B.; Phipps, K.; Çakmak, H. K.; Mikut, R.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 471–484, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539760

Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zone
Solheid, J. S.; Elkaseer, A.; Wunsch, T.; Scholz, S.; Seifert, H. J.; Pfleging, W.
2022. Materials, 15 (9), Art.Nr. 3323. doi:10.3390/ma15093323

Oscillating Combustion for NOₓ-Reduction in Pulverized Fuel Boilers
Jolibois, N.; Gehrmann, H. J.; Aleksandrov, K.; Hauser, M.; Stapf, D.; Seifert, H.; Waibel, P.; Vogelbacher, M.; Matthes, J.
2022. 13th European Conference on Industrial Furnances and Boilers (INFUB-13), Centro de Energia e Tecnologia (CENERTEC)

A Holistic Consideration of Megawatt Electrolysis as a Key Component of Sector Coupling
Emonts, B.; Müller, M.; Hehemann, M.; Janßen, H.; Keller, R.; Stähler, M.; Stähler, A.; Hagenmeyer, V.; Dittmeyer, R.; Pfeifer, P.; Waczowicz, S.; Rubin, M.; Munzke, N.; Kasselmann, S.
2022. Energies, 15 (10), 3656. doi:10.3390/en15103656

In vivo monitoring of corneal dendritic cells in the subbasal nerve plexus during Trastuzumab and Paclitaxel breast cancer therapy - a one-year follow-up
Bohn, S.; Stache, N.; Sperlich, K.; Allgeier, S.; Köhler, B.; Bartschat, A.; Do, H.-V.; George, C.; Guthoff, R. F.; Stachs, A.; Stachs, O.; Sterenczak, K. A.
2022. Diagnostics, 12 (5), 1180. doi:10.3390/diagnostics12051180

Evaluating ensemble post‐processing for wind power forecasts
Phipps, K.; Lerch, S.; Andersson, M.; Mikut, R.; Hagenmeyer, V.; Ludwig, N.
2022. Wind Energy, 25 (8), 1379–1405. doi:10.1002/we.2736

Distributed Optimization with Application to Power Systems and Control. Dissertation
Engelmann, A.
2022. KIT Scientific Publishing. doi:10.5445/KSP/1000144792

An Automated Room Temperature Flip-Chip Mounting Process for Hybrid Printed Electronics
Chen, Z.; Gengenbach, U.; Liu, X.; Scholz, A.; Zimmermann, L.; Aghassi-Hagmann, J.; Koker, L.
2022. Micromachines, 13 (4), 583. doi:10.3390/mi13040583

A Closer Look at Precision Hard Turning of AISI4340: Multi-Objective Optimization for Simultaneous Low Surface Roughness and High Productivity
Abbas, A. T.; Al-Abduljabbar, A. A.; Alnaser, I. A.; Aly, M. F.; Abdelgaliel, I. H.; Elkaseer, A.
2022. Materials, 15 (6), Art.-Nr.: 2106. doi:10.3390/ma15062106

High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
Luh, M.; Phipps, K.; Britto, A.; Wolf, M.; Lutz, M.; Kraft, J.
2022. ACM Digital Library. doi:10.5445/IR/1000144567

Experimental Evaluation and Systematic-Error Reduction of Frequency Estimation Using the Zero-Crossing Technique for Dynamic Power Grids
Förstner, E.; JUmar, R.; Tanrikulu, O. D.; Maaß, H.; Kühnapfel, U.; Hagenmeyer, V.
2022. The 2022 International Conference on Smart Grid Synchronized Measurements and Analytics – SGSMA, Split, Croatia, May 24h - 26th 2022, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SGSMA51733.2022.9806021

A Comparison of Energy-Efficient Seizure Detectors for Implantable Neurostimulation Devices
Manzouri, F.; Zöllin, M.; Schillinger, S.; Dümpelmann, M.; Mikut, R.; Woias, P.; Comella, L. M.; Schulze-Bonhage, A.
2022. Frontiers in Neurology, 12, Article: 703797. doi:10.3389/fneur.2021.703797

Methods and Prospects of Machine Learning applied to Challenges in Crystallography
Reischl, M.
2022. 30th Annual Meeting of the German Crystallographic Society (DGK 2022), München, Deutschland, 14.–17. März 2022

“Cells‐to‐cDNA on Chip”: Phenotypic assessment and gene expression analysis from live cells in nanoliter volumes using droplet microarrays
Chakraborty, S.; Luchena, C.; Elton, J. J.; Schilling, M. P.; Reischl, M.; Roux, M.; Levkin, P. A.; Popova, A. A.
2022. Advanced Healthcare Materials, 11 (12), Art.-Nr.: 2102493. doi:10.1002/adhm.202102493

K${}_S$${}^0$ meson production in inelastic p+p interactions at 158 GeV/c beam momentum measured by NA61/SHINE at the CERN SPS
Acharya, A.; Adhikary, H.; Allison, K. K.; Amin, N.; Andronov, E. V.; Antićić, T.; Babkin, V.; Baszczyk, M.; Bhosale, S.; Blondel, A.; Bogomilov, M.; Bondar, Y.; Brandin, A.; Bravar, A.; Bryliński, W.; Brzychczyk, J.; Buryakov, M.; Busygina, O.; Bzdak, A.; Cherif, H.; Ćirković, M.; Csanad, M.; Cybowska, J.; Czopowicz, T.; Damyanova, A.; Davis, N.; Deliyergiyev, M.; Deveaux, M.; Dmitriev, A.; Dominik, W.; Dorosz, P.; Dumarchez, J.; Engel, R.; Feofilov, G. A.; Fields, L.; Fodor, Z.; Garibov, A.; Gaździcki, M.; Golosov, O.; Golovatyuk, V.; Golubeva, M.; Grebieszkow, K.; Guber, F.; Haesler, A.; Igolkin, S. N.; Ilieva, S.; Ivashkin, A.; Johnson, S. R.; Kadija, K.; Kargin, N.; Kashirin, E.; Kiełbowicz, M.; Kireyeu, V. A.; Klochkov, V.; Kolesnikov, V. I.; Kolev, D.; Korzenev, A.; Kovalenko, V. N.; Kowalski, S.; Koziel, M.; Kozłowski, B.; Krasnoperov, A.; Kucewicz, W.; Kuich, M.; Kurepin, A.; Larsen, D.; László, A.; Lazareva, T. V.; Lewicki, M.; Łojek, K.; Lyubushkin, V. V.; Maćkowiak-Pawłowska, M.; Majka, Z.; Maksiak, B.; Malakhov, A. I.; Marcinek, A.; Marino, A. D.; Marton, K.; Mathes, H.-J.; Matulewicz, T.; Matveev, V.; Melkumov, G. L.; Merzlaya, A. O.; Messerly, B.; Mik, Ł.; Morozov, S.; Nagai, Y.; Naskręt, M.; Ozvenchuk, V.; Panova, O.; Paolone, V.; Petukhov, O.; Pidhurskyi, I.; Płaneta, R.; Podlaski, P.; Popov, B. A.; Porfy, B.; Posiadała-Zezula, M.; Prokhorova, D. S.; Pszczel, D.; Puławski, S.; Puzović, J.; Ravonel, M.; Renfordt, R.; Röhrich, D.; Rondio, E.; Rumberger, B. T.; Rumyantsev, M.; Rustamov, A.; Rybczynski, M.; Rybicki, A.; Sadhu, S.; Sadovsky, A.; Schmidt, K.; Selyuzhenkov, I.; Seryakov, A. Y.; Seyboth, P.; Słodkowski, M.; Staszel, P.; Stefanek, G.; Stepaniak, J.; Strikhanov, M.; Ströbele, H.; Šuša, T.; Taranenko, A.; Tefelska, A.; Tefelski, D.; Tereshchenko, V.; Toia, A.; Tsenov, R.; Turko, L.; Unger, M.; Uzhva, D.; Valiev, F. F.; Veberič, D.; Vechernin, V. V.; Wickremasinghe, A.; Wójcik, K.; Wyszyński, O.; Zaitsev, A.; Zimmerman, E. D.; Zwaska, R.; NA61/SHINECollaboration
2022. European Physical Journal C, 82 (1), Art.-Nr.: 96. doi:10.1140/epjc/s10052-021-09976-y

Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding
Zhou, B.; Pychynski, T.; Reischl, M.; Kharlamov, E.; Mikut, R.
2022. Journal of Intelligent Manufacturing, 33, 1139–1163. doi:10.1007/s10845-021-01892-y

Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels
Schutera, M.; Rettenberger, L.; Pylatiuk, C.; Reischl, M.
2022. PLoS ONE, 17 (2), Art.-Nr.: e0263656. doi:10.1371/journal.pone.0263656

Simple assessment of viability in 2D and 3D cell microarrays using single step digital imaging
Popova, A. A.; Reischl, M.; Kazenmaier, D.; Cui, H.; Amberger, T.; Levkin, P. A.
2022. SLAS technology, 27 (1), 44–53. doi:10.1016/j.slast.2021.10.017

Automated Annotator Variability Inspection for Biomedical Image Segmentation
Schilling, M. P.; Scherr, T.; Munke, F. R.; Neumann, O.; Schutera, M.; Mikut, R.; Reischl, M.
2022. IEEE access, 10, 2753–2765. doi:10.1109/ACCESS.2022.3140378

Microservice-Based Architecture for the Integration of Data Backends and Dashboard Applications in the Energy and Environment Domains
Sidler, J.; Braun, E.; Schmitt, C.; Schlachter, T.; Hagenmeyer, V.
2022. Advances and New Trends in Environmental Informatics. Ed.: V. Wohlgemuth, 37–48, Springer International Publishing. doi:10.1007/978-3-030-88063-7

Features Detection-Based Computer Vision of Transparent 3D Inkjet Printed Parts
Elkaseer, A.; Scholz, A.; Scholz, S. G.
2022. Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2. Ed.: K. Arai, 218–231, Springer International Publishing. doi:10.1007/978-3-030-89880-9_17

Sustainable Design and Manufacturing – Proceedings of the 8th International Conference on Sustainable Design and Manufacturing (KES-SDM 2021)
Scholz, S. G.; Howlett, R. J.; Setchi, R. (Hrsg.)
2022. Springer Singapur. doi:10.1007/978-981-16-6128-0

Development of Correction Factors for FDM 3D Printers: Experimental Investigation and ANN Modelling
Müller, T.; Elkaseer, A.; Wadlinger, J.; Salem, M.; Scholz, S. G.
2022. Sustainable Design and Manufacturing : Proceedings of the 8th International Conference on Sustainable Design and Manufacturing (KES-SDM 2021) . Ed.: S. Scholz, 314–326, Springer Singapur. doi:10.1007/978-981-16-6128-0_30

Human Activity Recognition Using K-Nearest Neighbor Machine Learning Algorithm
Mohsen, S.; Elkaseer, A.; Scholz, S. G.
2022. Sustainable Design and Manufacturing – Proceedings of the 8th International Conference on Sustainable Design and Manufacturing (KES-SDM 2021). Ed.: S. Scholz, 304–313, Springer Singapur. doi:10.1007/978-981-16-6128-0_29

Additive Manufacturing in the Automotive Industry and the Potential for Driving the Green and Electric Transition
Charles, A.; Hofer, A.; Elkaseer, A.; Scholz, S. G.
2022. Sustainable Design and Manufacturing: Proceedings of the 8th International Conference on Sustainable Design and Manufacturing (KES-SDM 2021) . Ed.: S. G. Scholz, 339–346, Springer Singapur. doi:10.1007/978-981-16-6128-0_32

Equilibrium droplet shapes on chemically patterned surfaces: theoretical calculation, phase-field simulation, and experiments
Wu, Y.; Kuzina, M.; Wang, F.; Reischl, M.; Selzer, M.; Nestler, B.; Levkin, P. A.
2022. Journal of Colloid and Interface Science, 606, 1077–1086. doi:10.1016/j.jcis.2021.08.029

Development of an Experimental Setup for Real-Time In-Line Dissolved Ozone Measurement for Medical Therapy
Petani, L.; Wührl, L.; Koker, L.; Reischl, M.; Renz, J.; Gengenbach, U.; Pylatiuk, C.
2022. Ozone science & engineering, 44 (5), 499–509. doi:10.1080/01919512.2021.1932412

Grid Screener: A Tool for Automated High-throughput Screening on Biochemical and Biological Analysis Platforms
Schilling, M. P.; Schmelzer, S.; Gómez, J. E. U.; Popova, A. A.; Levkin, P. A.; Reischl, M.
2021. IEEE access, 9, 166027–166038. doi:10.1109/ACCESS.2021.3135709

Enabling Sustainability-Driven Control Strategies in Multimodal Energy Systems Simulations
Erdmann, A.; Kyesswa, M.; Çakmak, H. K.; Hagenmeyer, V.
2021. IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 937–942, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEurope52324.2021.9639920

Modeling and Control of the Falling Film Evaporator Process. Dissertation
Hofmann, J.
2021, Dezember 17. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000141284

Digital twins of large scale energy grids
Hagenmeyer, V.
2021, Dezember 6. 3rd 3rd CASUS Annual Workshop with this year’s topic “Digital Twins of Complex Systems” (2021), Online, 6.–9. Dezember 2021

A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications
Schwenk, K.; Phipps, K.; Briegel, B.; Hagenmeyer, V.; Mikut, R.
2021. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SSCI50451.2021.9660063

A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics
Khalloof, H.; Mohammad, M.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2021. Internet of Things, 16, Art.-Nr. 100433. doi:10.1016/j.iot.2021.100433

Data on the Safety of Innovative Materials – DaNa4.0
Katja Nau, Clarissa Marquardt, Dana Kühnel, Andreas Mattern, Sara Espinoza, Harald Krug, Christoph Steinbach
2021, Dezember

Daten zur Sicherheit von innovativen Materialien – DaNa4.0
Nau, K.; Marquardt, C.; Kühnel, D.; Mattern, A.; Espinoza, S.; Krug, H.; Steinbach, C.
2021, Dezember

Wide-field mosaics of the corneal subbasal nerve plexus in Parkinson’s disease using in vivo confocal microscopy
Badian, R. A.; Allgeier, S.; Scarpa, F.; Andréasson, M.; Bartschat, A.; Mikut, R.; Colonna, A.; Bellisario, M.; Utheim, T. P.; Köhler, B.; Svenningsson, P.; Lagali, N.
2021. Scientific data, 8 (1), Article no: 306. doi:10.1038/s41597-021-01087-3

Application of 3D MAPs pipeline identifies the morphological sequence chondrocytes undergo and the regulatory role of GDF5 in this process
Rubin, S.; Agrawal, A.; Stegmaier, J.; Krief, S.; Felsenthal, N.; Svorai, J.; Addadi, Y.; Villoutreix, P.; Stern, T.; Zelzer, E.
2021. Nature Communications, 12 (1), Article no: 5363. doi:10.1038/s41467-021-25714-0

A stochastic oscillator model simulates the entrainment of vertebrate cellular clocks by light
Kumpošt, V.; Vallone, D.; Gondi, S. B.; Foulkes, N. S.; Mikut, R.; Hilbert, L.
2021. Scientific reports, 11 (1), Art.-Nr.: 14497. doi:10.1038/s41598-021-93913-2

Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks
Schilling, M. P.; Rettenberger, L.; Münke, F.; Cui, H.; Popova, A. A.; Levkin, P. A.; Mikut, R.; Reischl, M.
2021, November 26. 31. Workshop Computational Intelligence (2021), Berlin, Deutschland, 25.–26. November 2021

Peer-to-Peer Electricity Market based on Local Supervision
Khajeh, H.; Gazafroudi, A. S.; Laaksonen, H.; Shafie-Khah, M.; Siano, P.; Catalão, J. P. S.
2021. IEEE access, 9, 156647–156662. doi:10.1109/ACCESS.2021.3129050

Molecular noise facilitates population synchronization of uncoupled cellular oscillators to external signals
Kumpost, V.
2021, November 15. CompSysBio : Advanced Lecture Course on Computational Systems Biology (2021), Aussois, Frankreich, 14.–19. November 2021

Hierarchical approach for coordinating energy and flexibility trading in local energy markets
Gazafroudi, A. S.; Khorasany, M.; Razzaghi, R.; Laaksonen, H.; Shafie-khah, M.
2021. Applied Energy, 302, Art.-Nr.: 117575. doi:10.1016/j.apenergy.2021.117575

Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow
González-Ordiano, J. Á.; Mühlpfordt, T.; Braun, E.; Liu, J.; Çakmak, H.; Kühnapfel, U.; Düpmeier, C.; Waczowicz, S.; Faulwasser, T.; Mikut, R.; Hagenmeyer, V.; Appino, R. R.
2021. Applied energy, 302, Art.-Nr.: 117498. doi:10.1016/j.apenergy.2021.117498

Model Predictive Control in Buildings: Accounting for Uncertainties of Weather and Occupancy Behavior Forecasts on Demand-Side-Management
Frahm, M.
2021, November 12. 1 Annex 79 ST2 PhD Forum (2021), Online, 12.–13. November 2021

A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure
Schilling, M. P.; Neumann, O.; Scherr, T.; Cui, H.; Popova, A. A.; Levkin, P. A.; Götz, M.; Reischl, M.
2021, November 8. 7th bwHPC Symposium (2021), Online, 8. November 2021

Automated generation of models for demand side flexibility using machine learning – an overview
Förderer, K.; Hagenmeyer, V.; Schmeck, H.
2021. ACM SIGEnergy Energy Informatics Review, 1 (1), 107–120. doi:10.1145/3508467.3508477

SemML: Facilitating development of ML models for condition monitoring with semantics
Zhou, B.; Svetashova, Y.; Gusmao, A.; Soylu, A.; Cheng, G.; Mikut, R.; Waaler, A.; Kharlamov, E.
2021. Web semantics, 71, Art.Nr. 100664. doi:10.1016/j.websem.2021.100664

„Nicht mehr von Hand“ – der Campus Nord des KIT wird zum Reallabor für die automatisierte Steuerung einer CO2-freien Energieversorgung - Campus-Report am 26.10.2021
Fuchs, S.; Duepmeier, C.
2021. doi:10.5445/IR/1000139471

Prof. Dr.-Ing. habil. Jürgen Beyerer zum 60. Geburtstag
Bretthauer, G.
2021. Automatisierungstechnik, 69 (10), 919–920. doi:10.1515/auto-2021-2050

Designing the Interplay of Energy Plane and Communication Plane in the Energy Packet Grid
Schneider, K.; Wiegel, F.; Schulz, D.; Hagenmeyer, V.; Hiller, M.; Bless, R.; Zitterbart, M.
2021. 2021 IEEE 46th Conference on Local Computer Networks (LCN), 331–334, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/LCN52139.2021.9525020

Modelling in the EnergyLab
Kühnapfel, U.
2021, Oktober 5. The Modelling of Energy Transition: Cultures / Visions / Narratives (2021), Münster, Deutschland, 4.–6. Oktober 2021

Pilotstudie zur Evaluation einer medizinisch-beruflich orientierten Rehabilitation für Pflegekräfte
Wittmann, C.; Papst, L.; Reischl, M.; Welsch, K.; Käfer, M.; Köllner, V.
2021. Zeitschrift für psychosomatische Medizin und Psychotherapie, 68 (2), 128–140. doi:10.13109/zptm.2021.67.oa13

A Lightweight User Interface for Smart Charging of Electric Vehicles: A Real-World Application
Meisenbacher, S.; Schwenk, K.; Galenzowski, J.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2021. 2021 9th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 57–61, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSGCE52779.2021.9621604

Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten = Evaluating features to represent changes in unstructured image data
Münke, F. R.; Schilling, M. P.; Mikut, R.; Reischl, M.
2021. Automatisierungstechnik, 69 (10), 892–902. doi:10.1515/auto-2021-0038

CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units – A transferable and automated approach for industrial use cases = CAD-to-real: Eine Methode zum Einsatz tiefer neuronaler Netze bei der 3D-Lageerkennung von elektronischen Steuergeräten - Ein transferierbarer und automatisierter Ansatz für industrielle Anwendungen
Bäuerle, S.; Böhland, M.; Barth, J.; Reischl, M.; Steimer, A.; Mikut, R.
2021. Automatisierungstechnik, 69 (10), 880–891. doi:10.1515/auto-2021-0020

Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 „Computational Intelligence“ [Editorial]
Mikut, R.; Kroll, A.; Schulte, H.
2021. Automatisierungstechnik, 69 (10), 817–819. doi:10.1515/auto-2021-0124

A new multivariable control concept for the falling film evaporator process
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2021. Journal of process control, 106, 72–83. doi:10.1016/j.jprocont.2021.08.015

Experimentelle Absicherung von CFD-Modellen für die thermische Umsetzung von Ersatzbrennstoffen (FLUFF)
Wirtz, S.; Scherer, V.; Aleksandrov, K.; Gehrmann, H.-J.; Stapf, D.; Zhang, M.; Vogelbacher, M.; Matthes, J.
2021. 30. Deutscher Flammentag / Deutsche Sektion des Combustion Institutes und DVV/VDI-Gesellschaft Energie und Umwelt. Ed.: F. Dinkelacker, Deutsche Vereinigung für Verbrennungsforschung e.V

Microservice-based Architecture for the Integration of Data Backends and Dashboard Applications in the Energy and Environment Domains
Sidler, J.; Braun, E.; Schmitt, C.; Schlachter, T.; Hagenmeyer, V.
2021, September 27. 35th Environmental Informatics : A bogeyman or saviour to achieve the UN Sustainable Development Goals? (EnviroInfo 2021), Berlin, Deutschland, 27.–29. September 2021

Geometrical-based Simulation of Drop-on-Demand 3D Inkjet Printing
Elkaseer, A.; Schneider, S.; Scholz, S.
2021. Proceedings of the World Congress on Micro and Nano Manufacturing 2021: bringing together the worldwide community of micro- & nano-manufacturing experts, 20-23 September 2021, IIT Bombay, Mumbai, India

Effect of build platform location and part orientation on dimensional accuracy of downfacing surfaces in LPBF
Charles, A.; Elkaseer, A.; Thijs, L.; Scholz, S.
2021. Proceedings of the World Congress on Micro and Nano Manufacturing 2021, Bringing together the worldwide community of micro- & nano-manufacturing experts, 20-23 September 2021, IIT Bombay, Mumbai, India, Taylor and Francis

Mitigating heat demand peaks in buildings in a highly renewable European energy system
Zeyen, E.; Hagenmeyer, V.; Brown, T.
2021. Applied energy, 231, Art.Nr. 120784

Computational and Near-Optimal Trade-Offs in Renewable Electricity System Modelling. Dissertation
Neumann, F.
2021, September 13. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000137267

Quality Check of openBIM Input Data for Thermal Building Simulation based on mvdXML
Geiger, A.; Häfele, K.-H.; Hagenmeyer, V.
2021. Proceedings of Building Simulation 2021: 17th Conference of IBPSA, 1671–1678, International Building Performance Simulation Association (IBPSA). doi:10.26868/25222708.2021.30501

Mitigating heat demand peaks in buildings in a highly renewable European energy system
Zeyen, E.; Hagenmeyer, V.; Brown, T.
2021. Energy, 231, Artice: 120784. doi:10.1016/j.energy.2021.120784

Novel Control-Oriented Models for Liquid Transport in Falling Film Evaporator Tubes
Ponomarev, A.; Hofmann, J.; Gröll, L.
2021. Computers & chemical engineering, 152, Article no: 107376. doi:10.1016/j.compchemeng.2021.107376

Towards Optimality Preserving Aggregation for Scheduling Distributed Energy Resources
Appino, R. R.; Hagenmeyer, V.; Faulwasser, T.
2021. IEEE transactions on control of network systems, 8 (3), 1477–1488. doi:10.1109/TCNS.2021.3070664

Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night
Schutera, M.; Hussein, M.; Abhau, J.; Mikut, R.; Reischl, M.
2021. IEEE Transactions on Intelligent Vehicles, 6 (3), 480–489. doi:10.1109/TIV.2020.3039456

FlexKälte-Workshop: Flexibilisierung von Kälteversorgungssystemen
Frahm, M.; Zwickel, P.; Langner, F.
2021, August 26. Flexibilisierung von Kälteversorgungssystemen (2021), Oberhausen, Deutschland, 26. August 2021

Designing Inherently Photodegradable Cell‐Adhesive Hydrogels for 3D Cell Culture
Rosenfeld, A.; Göckler, T.; Kuzina, M.; Reischl, M.; Schepers, U.; Levkin, P. A.
2021. Advanced healthcare materials, 10 (16), Art.Nr. 2100632. doi:10.1002/adhm.202100632

A Bayesian Rule Learning Based Intrusion Detection System for the MQTT Communication Protocol
Liu, Q.; Keller, H. B.; Hagenmeyer, V.
2021. ARES 2021 : the 16th International Conference on Availability, Reliability and Security, Wien, A, August 17-20, 2021, Article no: 81, Association for Computing Machinery (ACM). doi:10.1145/3465481.3470046

Decreasing market value of variable renewables can be avoided by policy action
Brown, T.; Reichenberg, L.
2021. Energy economics, 100, Article: 105354. doi:10.1016/j.eneco.2021.105354

Two-stage mechanism design for energy trading of strategic agents in energy communities
Khorasany, M.; Razzaghi, R.; Shokri Gazafroudi, A.
2021. Applied Energy, 295, Art.-Nr.: 117036. doi:10.1016/j.apenergy.2021.117036

epiTracker: A Framework for Highly Reliable Particle Tracking for the Quantitative Analysis of Fish Movements in Tanks
Bruch, R.; Scheikl, P. M.; Mikut, R.; Loosli, F.; Reischl, M.
2021. SLAS technology, 26 (4), 367–376. doi:10.1177/2472630320977454

Automatisierte Grundrisserzeugung in der Entwurfsphase
Geiger, A.; Zhong, Y.
2021. BIM und KI in Wissenschaft & Unternehmenspraxis. Hrsg.: K. Teizer

Vehicle-to-Grid - A Case Study on Feasibility and Challenges
Schwenk, K.
2021, Juli. EUCOR - Working Seminar Smart Grids (2021), Online, 8.–9. Juli 2021

Identification based thermal reflection compensation for radiation based temperature measurements in combustion chambers
Matthes, J.; Vogelbacher, M.; Waibel, P.; Gröll, L.
2021. Experimental thermal and fluid science, 125, Art.Nr. 110354. doi:10.1016/j.expthermflusci.2021.110354

Down-facing surfaces in laser powder bed fusion of Ti6Al4V: Effect of dross formation on dimensional accuracy and surface texture
Charles, A. P.; Elkaseer, A.; Paggi, U.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2021. Additive manufacturing, 46, Article: 102148. doi:10.1016/j.addma.2021.102148

Open Innovation & Crowdsourcing für Industrial Technologies – Praxisbeispiele aus Europäischen Projekten
Marquardt, C.
2021, Juni 28. Open Innovation Kongress Baden-Württemberg 2021 (2021), Online, 28. Juni 2021

Engineering of Reliable and Secure Software via Customizable Integrated Compilation Systems. Dissertation
Scherer, O.
2021, Juni 28. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000134165

The effects of pattern screen surface deformation on deflectometric measurements - A simulation study
Allgeier, S.; Gengenbach, U.; Köhler, B.; Reichert, K.-M.; Hagenmeyer, V.
2021. Automated Visual Inspection and Machine Vision IV: SPIE Optical Metrology, 21-26 June 2021. Ed.: J. Beyerer, Art.-Nr.: 1178708, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2591877

Wissens- und Technologietransfer Grenzübergreifend – Transnational- Programmübergreifend
Marquardt, C.
2021, Juni 17. Ideenlabor für Digitalisierung und nachhaltige Wirtschaft (2021), Online, 17. Juni 2021

Dynamic Model Based Detection of Cyberattacks in Industrial Facilities
Reibelt, K.; Keller, H. B.; Hagenmeyer, V.; Matthes, J.
2021, Juni 8. 31st European Symposium on Computer Aided Process Engineering (ESCAPE 2021), Istanbul, Türkei, 6.–9. Juni 2021

Adaptive Feedforward Control for DC/DC Converters in Microgrids - A Power Hardware in the Loop Study
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2021. 9th International Conference on Smart Grid (icSmartGrid), 29th June - 01st July 2021, Sebútal, Portugal, 49–56, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/icSmartGrid52357.2021.9551250

atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
Hofmann, F.; Hampp, J.; Neumann, F.; Brown, T.; Hörsch, J.
2021. The journal of open source software, 6 (62), Art.-Nr.: 3294. doi:10.21105/joss.03294

Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface – A Real-World Application in the Energy Lab 2.0: Poster
Meisenbacher, S.; Schwenk, K.; Galenzowski, J.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2021. e-Energy ’21: The Twelfth ACM International Conference on Future Energy Systems Virtual Event Italy 28 June 2021- 2 July 2021, 284–285, Association for Computing Machinery (ACM). doi:10.1145/3447555.3466571

Design of transformation initiatives implementing organisational agility: an empirical study
Kovynyov, I.; Buerck, A.; Mikut, R.
2021. SN Business & Economics, 1 (6), Art.-Nr.: 79. doi:10.1007/s43546-021-00073-6

Long photoperiod impairs learning in male but not female medaka
López-Olmeda, J. F.; Zhao, H.; Reischl, M.; Pylatiuk, C.; Lucon-Xiccato, T.; Loosli, F.; Foulkes, N. S.
2021. iScience, 24 (7), Art. Nr.: 102784. doi:10.1016/j.isci.2021.102784

Security by design und agiles Vorgehen - Integration oder Widerspruch
Keller, H.
2021, Juni. Karlsruher Entwicklertag (2021), Online, 9.–10. Juni 2021

Simulation and evaluation of a body energy harvesting device for arm and leg swing motions
Petani, L.; Essig, S.; Zeilfelder, J.; Kortenhaus, M.; Pylatiuk, C.
2021. AIP Advances, 11 (6), 065201. doi:10.1063/5.0050424

Evaluation of four point cloud similarity measures for the use in autonomous driving
Berens, F.; Elser, S.; Reischl, M.
2021. Automatisierungstechnik, 69 (6), 499–510. doi:10.1515/auto-2020-0140

Unveiling local atomic bonding and packing of amorphous nanophases via independent component analysis facilitated pair distribution function
Mu, X.; Chen, L.; Mikut, R.; Hahn, H.; Kübel, C.
2021. Acta materialia, 212, Article: 116932. doi:10.1016/j.actamat.2021.116932

Distributed power flow and distributed optimization – formulation, solution, and open source implementation
Mühlpfordt, T.; Dai, X.; Engelmann, A.; Hagenmeyer, V.
2021. Sustainable energy, grids and networks, 26, Article no: 100471. doi:10.1016/j.segan.2021.100471

The strong effect of network resolution on electricity system models with high shares of wind and solar
Frysztacki, M. M.; Hörsch, J.; Hagenmeyer, V.; Brown, T.
2021. Applied energy, 291, Article: 116726. doi:10.1016/j.apenergy.2021.116726

Energy-based stochastic MPC for integrated electricity-hydrogen VPP in real-time markets
Appino, R. R.; Wang, H.; González Ordiano, J. Á.; Faulwasser, T.; Mikut, R.; Hagenmeyer, V.; Mancarella, P.
2021. Electric power systems research, ^95, Art.Nr. 106738. doi:10.1016/j.epsr.2020.106738

Miniaturized Drug Sensitivity and Resistance Test on Patient-Derived Cells Using Droplet-Microarray
Popova, A. A.; Dietrich, S.; Huber, W.; Reischl, M.; Peravali, R.; Levkin, P. A.
2021. SLAS technology, 26 (3), 274–286. doi:10.1177/2472630320934432

Deep Learning & Alternatives for Image Analysis
Mikut, R.
2021, Mai 31. Life Sciences and Industry 4.0 (2021), Online, 30.–31. Mai 2021

Dynamic Model Based Detection of Cyberattacks in Industrial Facilities
Reibelt, K.; Keller, H. B.; Hagenmeyer, V.; Matthes, J.
2021. 31st European Symposium on Computer Aided Process Engineering: ESCAPE-31. Ed.: M. Türkay, 1339–1344, Elsevier. doi:10.1016/B978-0-323-88506-5.50206-0

„Bashing“ the Killer from the Command Line
Schmidt, A.; Ehrlinger, L.; Laux, F.
2021, Mai 30

The Thirteenth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2021)
Crowe, M.; Laux, F.; Schmidt, A.; Dini, C. (Hrsg.)
2021. International Academy Research and Industry Association (IARIA)

Supporting the Information Search and Discovery Process with the Bash-Shell
Schmidt, A.
2021. Research Challenges in Information Science. Ed.: S. Cherfi, Springer Nature Switzerland AG

Machine Learning Methods for Product Quality Monitoring in Electric Resistance Welding. Dissertation
Zhou, B.
2021, Mai 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000132412

DiversityScanner: Robotic discovery of small invertebrates with machine learning methods
Wührl, L.; Pylatiuk, C.; Giersch, M.; Lapp, F.; Rintelen, T. von; Balke, M.; Schmidt, S.; Cerretti, P.; Meier, R.
2021. doi:10.1101/2021.05.17.444523

Costs of regional equity and autarky in a renewable European power system
Neumann, F.
2021. Energy strategy reviews, 35, Article no: 100652. doi:10.1016/j.esr.2021.100652

Morphological characterization of the human corneal epithelium by in vivo confocal laser scanning microscopy
Sterenczak, K. A.; Winter, K.; Sperlich, K.; Stahnke, T.; Linke, S.; Farrokhi, S.; Klemm, M.; Allgeier, S.; Köhler, B.; Reichert, K.-M.; Guthoff, R. F.; Bohn, S.; Stachs, O.
2021. Quantitative imaging in medicine and surgery, 11 (5), 1737–1750. doi:10.21037/qims-20-1052

Enhancing deep-learning training for phase identification in powder X-ray diffractograms
Schuetzke, J.; Benedix, A.; Mikut, R.; Reischl, M.
2021. IUCrJ, 8 (3). doi:10.1107/S2052252521002402

Smart agriculture
Beyerer, J.; Bretthauer, G.; Längle, T.
2021. Automatisierungstechnik, 69 (4), 275–277. doi:10.1515/auto-2021-2049

Introduction of the technical diving method for scientific diving to investigate biocoenosis in the twilight zone of freshwater lakes
Brümmer, F.; Remmers, D.; Müller, R.-W.; Scholz, S.
2021. 6th European Conference on Scientific Diving - TU Bergakademie Freiberg

DaNa4.0 - advanced materials knowledge base in a new outfit
Nau, K.; Krug, H. F.; Kühnel, D.; Marquardt, C.; Mattern, A.; Steinbach, C.
2021, April 22. 10th International Conference on Nanotoxicology (NanoTox 2021), Online, 20.–22. April 2021

„Kein Nutzen für Verbraucher und Umwelt“ - IT-Sicherheitsexperte am Karlsruher Institut für Technologie warnt vor digitalen Stromzählern - Campus-Report am 20.04.2021
Fuchs, S.; Keller, H.
2021. doi:10.5445/IR/1000131717

Ratio-based features for data-driven bridge monitoring and damage detection
Döring, A.; Waibel, P.; Matthes, J.; Scherer, O.; Keller, H. B.; Keller, S.; Müller, J.; Schneider, O.
2021. Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. Ed.: H. Yokota, 2532–2541, CRC Press. doi:10.1201/9780429279119-346

Unravelling the opposing effects of network clustering on electricity system models with high shares of renewables
Frysztacki, M.; Hörsch, J.; Hagenmeyer, V.; Brown, T.
2021, April. vEGU21: European Geosciences Union General Assembly (EGU 2021), Online, 19.–30. April 2021

Ratio-based features for data-driven bridge monitoring and damage detection
Döring, A.; Waibel, P.; Matthes, J.; Bleszynski, L.; Scherer, O.; Keller, H. B.; Keller, S.; Müller, J.; Schneider, O.
2021, April. 10th Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations (IABMAS 2021), Online, 11.–18. April 2021

One aspect of 3D printing during the COVID-19 Pandemic
Müller, T.; Charles, A. P.; Scholz, S.
2021, März 23. Re-Imagining the Futures of 3D Printing in Society - Scientific symposium and expert scenario workshop (2021), Online, 23.–24. März 2021

Evaluation of Deep Learning-Based Segmentation Methods for Industrial Burner Flames
Großkopf, J.; Matthes, J.; Vogelbacher, M.; Waibel, P.
2021. Energies, 14 (6), 1716. doi:10.3390/en14061716

Methoden, Materialien und Ergebnisse der Entwicklung funktionaler Druckprozesse. Zusätzliche Daten zur Dissertation "Neue Methodik zur Optimierung von Druckverfahren für die Herstellung funktionaler Mikrostrukturen und hybrider elektronischer Schaltungen"
Ungerer, M.
2021, März 2. doi:10.5445/IR/1000099352

A New Distributed Co-Simulation Architecture for Multi-Physics based Energy Systems Integration
Çakmak, H.; Erdmann, A.; Kyesswa, M.; Kühnapfel, U.; Hagenmeyer, V.
2021, Februar 25. 55. Regelungstechnisches Kolloquium (2021), Online, 25. Februar 2021

Machine learning-based automated segmentation with a feedback loop for 3D synchrotron micro-CT. Dissertation
Shkarin, R.
2021, Februar 18. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000129244

Effect of different cooling strategies on surface quality and power consumption in finishing end milling of stainless steel 316
Abbas, A. T.; Anwar, S.; Abdelnasser, E.; Luqman, M.; Abu Qudeiri, J. E.; Elkaseer, A.
2021. Materials, 14 (4), Art. Nr.: 903. doi:10.3390/ma14040903

Softwarezuverlässigkeit - Software Reliability
Keller, H.
2021. VDI-Richtlinien, VDI 4011

A Novel Receiver Design for Energy Packet‐Based Dispatching
Wiegel, F.; De Din, E.; Monti, A.; Wehrle, K.; Hiller, M.; Zitterbart, M.; Hagenmeyer, V.
2021. Energy technology, 9 (2), Art.-Nr. 2000937. doi:10.1002/ente.202000937

Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting
Schutera, M.; Hafner, F. M.; Abhau, J.; Hagenmeyer, V.; Mikut, R.; Reischl, M.
2021. Image and vision computing, 106, Article no: 104079. doi:10.1016/j.imavis.2020.104079

Structure Exploitation in Mixed-Integer Optimization with Applications to Energy Systems. Dissertation
Murray, A.
2021, Januar 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000125528

A Parallel Hybrid Method for Fast Analysis of Power System Dynamics. Dissertation
Kyesswa, M.
2021, Januar 21. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000128495

Analysis of Oscillating Combustion for NOx-Reduction in Pulverized Fuel Boilers
Jolibois, N.; Aleksandrov, K.; Hauser, M.; Stapf, D.; Seifert, H.; Matthes, J.; Waibel, P.; Vogelbacher, M.; Keller, H. B.; Gehrmann, H.-J.
2021. Inventions, 6 (9), Article no: 9. doi:10.3390/inventions6010009

Distributed Optimization with Application to Power Systems and Control. Dissertation
Engelmann, A.
2021, Januar 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000127849/v2

Parkinson’s disease with restless legs syndrome - an in vivo corneal confocal microscopy study
Andréasson, M.; Lagali, N.; Badian, R. A.; Utheim, T. P.; Scarpa, F.; Colonna, A.; Allgeier, S.; Bartschat, A.; Köhler, B.; Mikut, R.; Reichert, K.-M.; Solders, G.; Samuelsson, K.; Zetterberg, H.; Blennow, K.; Svenningsson, P.
2021. npj Parkinson’s Disease, 7 (1), Art.-Nr. 4. doi:10.1038/s41531-020-00148-5

Import options for chemical energy carriers from renewable sources to Germany
Hampp, J.; Düren, M.; Brown, T.
2021. doi:10.48550/arXiv.2107.01092

Efficient Optimization Model for Buffer Size Problem in Production Line with Rework Path
Alkhalefah, H.; Abidi, M. H.; Umer, U.; Elkaseer, A.
2021. Proceedings 4th European International Conference on Industrial Engineering and Operations Management, IEOM 2021: 2-5 August 2021, Virtual. Ed.: M. Fargnoli, 2539–2551, IEOM Society International

Development of an Optimization Model for Multiple Production Systems with Split and Merge
Alkhalefah, H.; Abidi, M. H.; Umer, U.; Elkaseer, A.
2021. Proceedings of the International Conference on Industrial Engineering and Operations Management: Bangalore, India, August 16-18, 2021, 784–794, IEOM Society International

Wertstromkinematik – Produktionssysteme neu gedacht: Interdisziplinäres Forscherteam arbeitet an der Produktionstechnik der Zukunft (Teil 2)
Kimmig, A.; Schöck, M.; Mühlbeier, E.; Oexle, F.; Fleischer, J.; Bönsch, J.; Ovtcharova, J.; Hahn, J.; Grunwald, A.; Albers, A.; Rapp, S.; Hagenmeyer, V.; Scholz, S. G.; Schmidt, A.; Müller, T.; Becker, J.; Schade, F.; Beyerer, J.; Rehak, J.; Zwick, T.; Pauli, M.; Nuß, B.; Lanza, G.; Schild, L.; Overbeck, L.
2021. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 116 (12), 935–939. doi:10.1515/zwf-2021-0207

Iterative Game Approach for Modeling the Behavior of Agents in a Competitive Flexibility Trading
Ebrahimi, M.; Gazafroudi, A. S.; Ebrahimi, M.; Laaksonen, H.; Shafie-Khah, M.; Catalao, J. P. S.
2021. IEEE access, 9, 165227–165238. doi:10.1109/ACCESS.2021.3134937

Sustainable Design and Manufacturing 2020 - Proceedings of the 7th International Conference on Sustainable Design and Manufacturing (KES-SDM 2020)
Scholz, S. G.; Howlett, R. J.; Setchi, R. (Hrsg.)
2021. Springer Singapur. doi:10.1007/978-981-15-8131-1

Automatisierte Grundrisserzeugung in der Entwurfsphase
Geiger, A.
2021. buildingSMART Thementag Online: BIM und KI (2021), Online, 28. September 2021

IFC-Roundtrip mit Plangrafiken
Geiger, A.; Eichler, C.; Fritzenwallner, R.; Häfele, K.-H.
2021. 32. Forum Bauinformatik, Darmstadt, 09.-10. September 2021

Rational Designed Hybrid Peptides Show up to a 6-Fold Increase in Antimicrobial Activity and Demonstrate Different Ultrastructural Changes as the Parental Peptides Measured by BioSAXS
Hilpert, K.; Gani, J.; Rumancev, C.; Simpson, N.; Lopez-Perez, P. M.; Garamus, V. M.; Gundlach, A. R. von; Markov, P.; Scocchi, M.; Mikut, R.; Rosenhahn, A.
2021. Frontiers in pharmacology, 12, Article no: 769739. doi:10.3389/fphar.2021.769739

Local market models
Gazafroudi, A. S.; Khajeh, H.; Shafie-khah, M.; Laaksonen, H.; Corchado, J. M.
2021. Local Electricity Markets. Ed.: T. Pinto, 79–90, Academic Press. doi:10.1016/B978-0-12-820074-2.00010-1

Fundamental investigation into tool wear and surface quality in high-speed machining of Ti6Al4V alloy
Abbas, A. T.; Al Bahkali, E. A.; Alqahtani, S. M.; Abdelnasser, E.; Naeim, N.; Elkaseer, A.
2021. Materials, 14 (23), 7128. doi:10.3390/ma14237128

Ein Blick in die Zukunft der Mikrofertigungstechnologien
Tobias Mueller
2021. OST Polymerics Coffee Lectures 2021 (2021), Online, 8. April–1. Juli 2021

Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei : A quantitative analysis
Böhland, M.; Tharun, L.; Scherr, T.; Mikut, R.; Hagenmeyer, V.; Thompson, L. D. R.; Perner, S.; Reischl, M.
2021. PLOS ONE, 16 (9), e0257635. doi:10.1371/journal.pone.0257635

An extended Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualizationz Technologies
Shahoud, S.; Winter, M.; Khalloof, H.; Duepmeier, C.; Hagenmeyer, V.
2021. Internet of Things (Netherlands), 16, Art.Nr. 100432. doi:10.1016/j.iot.2021.100432

Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
Neumann, O.; Turowski, M.; Ludwig, N.; Heidrich, B.; Hagenmeyer, V.; Mikut, R.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 113–130, KIT Scientific Publishing

Industry 4.0-Oriented Deep Learning Models for Human Activity Recognition
Mohsen, S.; Elkaseer, A.; Scholz, S. G.
2021. IEEE Access, 9, 150508–150521. doi:10.1109/ACCESS.2021.3125733

ALADIN-α—An open-source MATLAB toolbox for distributed non-convex optimization
Engelmann, A.; Jiang, Y.; Benner, H.; Ou, R.; Houska, B.; Faulwasser, T.
2021. Optimal Control Applications and Methods, 43 (1), 4–22. doi:10.1002/oca.2811

Concepts for Automated Machine Learning in Smart Grid Applications
Meisenbacher, S.; Pinter, J.; Martin, T.; Hagenmeyer, V.; Mikut, R.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 11–35, KIT Scientific Publishing

Quantification Platform for Touch Response of Zebrafish Larvae using Machine Learning
Wang, Y.; Pylatiuk, C.; Mikut, R.; Peravali, R.; Reischl, M.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte, Horst; F. Hoffmann; R. Mikut, 37–54, KIT Scientific Publishing

Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks
Schilling, M. P.; Rettenberger, L.; Münke, F.; Cui, H.; Popova, A. A.; Levkin, P. A.; Mikut, R.; Reischl, M.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 211–234, KIT Scientific Publishing

Classification of Bundle Branch Blocks with QRS Templates Extracted from 12-lead ECGs
Welle, H.; Nagel, C.; Loewe, A.; Mikut, R.; Dössel, O.
2021. Biomedical engineering, 66 (s1), S228–S233. doi:10.1515/bmt-2021-6033

Influence of contact cap design on large-area imaging of the subbasal nerve plexus
Bohn, S.; Sperlich, K.; Allgeier, S.; Bartschat, A.; Reichert, K.-M.; Kornelius, L.; Mikut, R.; Köhler, B.; Stachs, O.
2021. Biomedical engineering, 66 (s1), S124. doi:10.1515/bmt-2021-6018

A software framework for real-time image mosaicking of the corneal subbasal nerve plexus
Köhler, B.; Kornelius, L.; Bartschat, A.; Bohn, S.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stachs, O.; Allgeier, S.
2021. Biomedical engineering, 66 (s1), S121

Case Study of Designing a Locally Distributed Real-Time Infrastructure
Weber, M.; Kyesswa, M.; Kühnapfel, U.; Hagenmeyer, V.; Çakmak, H. K.
2021. IEEE Toronto Section, 20 th- 21st October 2021, 310–315, IEEEXplore. doi:10.1109/EPEC52095.2021.9621665

Results of a Case Study integrating Building Information Models into a Geo Referenced Campus Model
Semnani, N. M.; Wang, K.; Häfele, K.-H.; Breunig, M.
2021. 16th 3D GEOINFO Conference (3D GeoInfo 2021), Online, 11.–14. Oktober 2021

Systematic assessment of the biocompatibility of materials for inkjet-printed ozone sensors for medical therapy
Petani, L.; Wehrheim, V.; Koker, L.; Reischl, M.; Ungerer, M.; Gengenbach, U.; Pylatiuk, C.
2021. Flexible and printed electronics, 6 (4), Art.-Nr.: 043003. doi:10.1088/2058-8585/ac32ab

FAIR Metadata Standards for Low Carbon Energy Research—A Review of Practices and How to Advance
Wierling, A.; Schwanitz, V. J.; Altinci, S.; Bałazińska, M.; Barber, M. J.; Biresselioglu, M. E.; Burger-Scheidlin, C.; Celino, M.; Demir, M. H.; Dennis, R.; Dintzner, N.; Gammal, A. el; Fernández-Peruchena, C. M.; Gilcrease, W.; Gładysz, P.; Hoyer-Klick, C.; Joshi, K.; Kruczek, M.; Lacroix, D.; Markowska, M.; Mayo-García, R.; Morrison, R.; Paier, M.; Peronato, G.; Ramakrishnan, M.; Reid, J.; Sciullo, A.; Solak, B.; Suna, D.; Süß, W.; Unger, A.; Fernandez Vanoni, M. L.; Vasiljevic, N.
2021. Energies, 14 (20), Art. Nr.: 6692. doi:10.3390/en14206692

An evaluation of graph algorithms for the wind farm cable layout problem under electrical aspects
Gritzbach, S.; Cakmak, H.; Mehnert, P.; Ueckerdt, T.; Hagenmeyer, V.
2021. 2021 56th International Universities Power Engineering Conference (UPEC): 31 Aug.-3 Sept. 2021, online, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC50034.2021.9548251

Mathematical Model for Agent-based Local Energy Exchange Engine (D3A)
Gazafroudi, A. S.; Okwuibe, G. C.; Hambridge, S.; Dietrich, C.; Trbovich, A.; Tzscheutschler, P.; Hamacher, T.; Shafie-khah, M.
2021. SEST’21: 4th International Conference on Smart Energy Systems and Technologies ; 6-8 September 2021. Ed.: IEEE, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEST50973.2021.9543262

Is There a Connection Between Gut Microbiome Dysbiosis Occurring in COVID-19 Patients and Post-COVID-19 Symptoms?
Hilpert, K.; Mikut, R.
2021. Frontiers in Microbiology, 12, Art.-Nr.: 732838. doi:10.3389/fmicb.2021.732838

Diagnose-Spektrum somatischer Komorbiditäten bei unterschiedlichen AVEM Mustern in der Psychosomatischen Rehabilitation
Wittmann, C.; Reischl, M.; Welsch, K.; Käfer, M.; Köllner, V.
2021. Praxis klinische Verhaltensmedizin und Rehabilitation, 114 (2), 58–67

Approaches towards Resource-saving and Explainability/Transparency of Deep-learning-based Image Classification in Industrial Applications
Rieder, C.; Germann, M.; Mezger, S.; Scherer, K.
2021. Proceedings of the 2nd International Conference on Deep Learning Theory and Applications. Ed.: A. Fred, 164–169, SciTePress. doi:10.5220/0010575901640169

Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021
Schulte, H.; Hoffmann, F.; Mikut, R. (Hrsg.)
2021. KIT Scientific Publishing. doi:10.5445/KSP/1000138532

Inherently UV Photodegradable Poly(methacrylate) Gels
Scheiger, J. M.; Li, S.; Brehm, M.; Bartschat, A.; Theato, P.; Levkin, P. A.
2021. Advanced Functional Materials, 31 (49), Art.-Nr.: 2105681. doi:10.1002/adfm.202105681

Time-Delay Identification and Validation of a Liquid Film Transport Model based on Pilot Plant Experiments
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2021. IFAC-PapersOnLine, 54 (3), 401–408. doi:10.1016/j.ifacol.2021.08.275

A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction
Löffler, K.; Scherr, T.; Mikut, R.
2021. PLOS ONE, 16 (9), e0249257. doi:10.1371/journal.pone.0249257

An Automated Experimentation System for the Touch-Response Quantification of Zebrafish Larvae
Wang, Y.; Marcato, D.; Tirumalasetty, V.; Kanagaraj, N. K.; Pylatiuk, C.; Mikut, R.; Peravali, R.; Reischl, M.
2021. IEEE transactions on automation science and engineering, 19 (4), 3007–3019. doi:10.1109/TASE.2021.3104507

Comparing Time Series Classification and Forecasting to Automatically Detect Distributed Generation
Petrusev, A.; Bauer, R.; Rigo-Mariani, R.; Debusschere, V.; Reignier, P.; Hadjsaid, N.
2021. 2021 IEEE Madrid PowerTech: Conference Proceedings ; 28 June-2 July 2021, online, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PowerTech46648.2021.9494895

Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles
Schwenk, K.; Meisenbacher, S.; Briegel, B.; Harr, T.; Hagenmeyer, V.; Mikut, R.
2021. IEEE transactions on smart grid, 12 (6), 5135–5145. doi:10.1109/TSG.2021.3099206

Data-Driven Copy-Paste Imputation for Energy Time Series
Weber, M.; Turowski, M.; Çakmak, H. K.; Mikut, R.; Kühnapfel, U.; Hagenmeyer, V.
2021. IEEE transactions on smart grid, 12 (6), 5409–5419. doi:10.1109/TSG.2021.3101831

Characterization of Aggregated Building Heating, Ventilation, and Air Conditioning Load as a Flexibility Service Using Gray‐Box Modeling
Kohlhepp, P.; Gröll, L.; Hagenmeyer, V.
2021. Energy technology, 9 (9), Art.-Nr.: 2100251. doi:10.1002/ente.202100251

Applying Evolutionary Algorithms Successfully: A Guide Gained from Real-world Applications
Jakob, W.
2021. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000135763

Modeling of a distillation column without measurement data
Schaßberger, J.; Hagenmeyer, V.; Gröll, L.
2021. Internatiional Scientific Conference on Control Processes and Stability, 167–173, Publishing House Fedorova G.V

pyWATTS: Python Workflow Automation Tool for Time Series
Heidrich, B.; Bartschat, A.; Turowski, M.; Neumann, O.; Phipps, K.; Meisenbacher, S.; Schmieder, K.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2021. Cornell University

Introduction of the technical diving method for scientific diving to investigate biocoenosis in the twilight zone of freshwater lakes
Brümmer, F.; Remmers, D.; Müller, R.-W.; Scholz, S.
2021. Freiberg online geoscience, 58, 46–53

Structural analysis of a genetically encoded fret biosensor by SAXS and MD simulations
Reinartz, I.; Sarter, M.; Otten, J.; Höfig, H.; Pohl, M.; Schug, A.; Stadler, A. M.; Fitter, J.
2021. Sensors, 21 (12), Art.Nr. 4144. doi:10.3390/s21124144

Advanced Methods for Kiln-Shell Monitoring to Optimize the Waelz Process for Zinc Recycling
Vogelbacher, M.; Keller, S.; Zehm, W.; Matthes, J.
2021. Processes, 9 (6), 1062. doi:10.3390/pr9061062

I-care-an interaction system for the individual activation of people with dementia
Schultz, T.; Putze, F.; Steinert, L.; Mikut, R.; Depner, A.; Kruse, A.; Franz, I.; Gaerte, P.; Dimitrov, T.; Gehrig, T.; Lohse, J.; Simon, C.
2021. Geriatrics (Switzerland), 6 (2), 51. doi:10.3390/geriatrics6020051

Energy Hub Gas : A Multi-Domain System Modelling and Co-Simulation Approach
Poppenborg, R.; Ruf, J.; Chlosta, M.; Liu, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2021. Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES ’21), Art.Nr. 12, Association for Computing Machinery (ACM). doi:10.1145/3470481.3472712

Control Loop Pairing and Interaction Analyses of the Falling Film Evaporator Process
Hofmann, J.; Gröll, L.; Hagenmeyer, V.
2021. Proceedings of the 23rd International Conference on Process Control, 2021. Ed.: R. Paulen, 186–193, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PC52310.2021.9447487

Realtime Testbench for Inverters - A Sliding Mode Control Experiment
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2021. 52th International Scientific Conference on Control Processes and Stability (CPS’21), St. Petersburg, RUS, April 5-9, 2021, 93–99, Publishing House Fedorova G.V

Abstractions in Modeling of Switching DC/AC Power Converters
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2021. Control Processes and Stability : Proceedings of the LII International Conference. St. Petersburg April 5–9, 2021. Ed.: N. Smirnov, 85–92, Publishing House Fedorova G.V

Performance of Different Diagnostic PD-L1 Clones in Head and Neck Squamous Cell Carcinoma
Ribbat-Idel, J.; Dressler, F. F.; Krupar, R.; Watermann, C.; Paulsen, F.-O.; Kuppler, P.; Klapper, L.; Offermann, A.; Wollenberg, B.; Rades, D.; Laban, S.; Reischl, M.; Bruchhage, K.-L.; Idel, C.; Perner, S.
2021. Frontiers in Medicine, 8, Art.-Nr.: 640515. doi:10.3389/fmed.2021.640515

Burst of corneal dendritic cells during Trastuzumab and Paclitaxel treatment
Sterenczak, K. A.; Stache, N.; Bohn, S.; Allgeier, S.; Köhler, B.; Bartschat, A.; George, C.; Guthoff, R. F.; Stachs, O.; Stachs, A.
2021. Diagnostics, 11 (5), Art.Nr. 838. doi:10.3390/diagnostics11050838

Partially distributed outer approximation
Murray, A.; Faulwasser, T.; Hagenmeyer, V.; Villanueva, M. E.; Houska, B.
2021. Journal of Global Optimization, 80 (3), 523–550. doi:10.1007/s10898-021-01015-0

Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
Isele, S.; Schilling, M.; Klein, F.; Saralajew, S.; Zoellner, J.
2021. Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), April 28-30, 2021, 22–33, SciTePress. doi:10.5220/0010395100220033

Development of an Efficient Prediction Model for Optimal Design of Serial Production Lines
Alkhalefah, H.; Abu Qudeiri, J. E.; Umer, U.; Abidi, M. H.; Elkaseer, A.
2021. IEEE Access, 9, 61807–61818. doi:10.1109/ACCESS.2021.3074356

Biophotonic sensors with integrated Si${}_3$N${}_4$-organic hybrid (SiNOH) lasers for point-of-care diagnostics
Kohler, D.; Schindler, G.; Hahn, L.; Milvich, J.; Hofmann, A.; Länge, K.; Freude, W.; Koos, C.
2021. Light: Science and Applications, 10 (1), Art.-Nr.: 64. doi:10.1038/s41377-021-00486-w

Detektion und Tracking von Brennstoffpartikeln auf Basis eines Lichtfeldkamerasystems = Detection and tracking of refuse-derived fuel particles based on a light field camera system
Zhang, M.; Matthes, J.; Aleksandrov, K.; Gehrmann, H.-J.; Vogelbacher, M.
2021. Technisches Messen, 88 (6), 396–407. doi:10.1515/teme-2021-0016

A Review of Rule Learning Based Intrusion Detection Systems and Their Prospects in Smart Grids
Liu, Q.; Hagenmeyer, V.; Keller, H. B.
2021. IEEE access, 9, 57542–57564. doi:10.1109/ACCESS.2021.3071263

Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches
VSharma, V.; Gonzalez Ordiano, J. A.; Mikut, R.; Cali, U.
2021. Karlsruher Institut für Technologie (KIT)

Energy Pulsation Reduction in Modular Multilevel Converters Using Optimized Current Trajectories
Bräckle, D.; Himmelmann, P.; Gröll, L.; Hagenmeyer, V.; Hiller, M.
2021. IEEE Open Journal of Power Electronics, 2, 171–186. doi:10.1109/OJPEL.2021.3065115

On Optimal Grid Partitioning for Distributed Optimization of Reactive Power Dispatch
Murray, A.; Kyesswa, M.; Çakmak, H.; Hagenmeyer, V.
2021. IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 16-18 February, 2021, Washington, DC, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT49243.2021.9372275

Enhancement of High-Resolution 3D Inkjet-rinting of Optical Freeform Surfaces Using Digital Twins
Sieber, I.; Thelen, R.; Gengenbach, U.
2021. Micromachines, 12 (1), Art.-Nr.: 35. doi:10.3390/mi12010035

Modeling and Simulation of Sector-Coupled Energy Networks: A Gas-Power Benchmark
Fokken, E.; Mühlpfordt, T.; Faulwasser, T.; Göttlich, S.; Kolb, O.
2021. Mathematical Modeling, Simulation and Optimization for Power Engineering and Management. Ed.: S. Göttlich, 263–284, Springer International Publishing. doi:10.1007/978-3-030-62732-4_12

Informatik 2020 - Bericht der Session zum Thema Software Engineering
Becker, S.; Keller, H.
2021. Informatik 2020. Hrsg.: R.H. Reussner, A. Koziolek, 35–37, Gesellschaft für Informatik (GI)

Atypical cellular elements of unknown origin in the subbasal nerve plexus of a diabetic cornea diagnosed by large-area confocal laser scanning microscopy
Sterenczak, K. A.; Stachs, O.; Marfurt, C.; Matuszewska-Iwanicka, A.; Stratmann, B.; Sperlich, K.; Guthoff, R. F.; Hettlich, H.-J.; Allgeier, S.; Stahnke, T.
2021. Diagnostics, 11 (2), Article no: 154. doi:10.3390/diagnostics11020154

A Generic Scalable Method for Scheduling Distributed Energy Resources Using Parallelized Population-Based Metaheuristics
Khalloof, H.; Jakob, W.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2021. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2. Ed.: K. Arai, 1–21, Springer Nature. doi:10.1007/978-3-030-63089-8_1

Incorporating Unsupervised Deep Learning into Meta Learning for Energy Time Series Forecasting
Shahoud, S.; Khalloof, H.; Duepmeier, C.; Hagenmeyer, V.
2021. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. Ed.: K. Arai, 326–345, Springer Nature. doi:10.1007/978-3-030-63128-4_25

Additive Manufacturing: Comparative Study of an IoT Integrated Approach and a Conventional Solution
Shandilya, H.; Kuchta, M.; Elkaseer, A.; Müller, T.; Scholz, S. G.
2021. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2. Ed.: K. Arai, 976–986, Springer International Publishing. doi:10.1007/978-3-030-63089-8_64

Heterogeneous Dual-Frequency IoT Network for Vital Data Acquisition
Salem, M.; El-Maddah, I.; Youssef, K.; Elkaseer, A.; Scholz, S.; Mohamed, H.
2021. Sustainable Design and Manufacturing 2020. Ed.: S. Scholz, 333–343, Springer Nature. doi:10.1007/978-981-15-8131-1_30

The near-optimal feasible space of a renewable power system model
Neumann, F.; Brown, T.
2021. Electric power systems research, 190, Art.Nr. 106690. doi:10.1016/j.epsr.2020.106690

Impact of grid partitioning algorithms on combined distributed AC optimal power flow and parallel dynamic power grid simulationn
Kyesswa, M.; Murray, A.; Schmurr, P.; Cakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2020. IET generation, transmission and distribution, 14 (25), 6133–6141. doi:10.1049/iet-gtd.2020.1393

Ein neues Konzept für die Optimierung intelligenter Aktoren im Bereich beweglicher elektrischer Verbraucher. Dissertation
Manz, F.
2020, Dezember 21. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000127792

1,5°Csellsius: Energiewende zellulär - partizipativ - vielfältig umgesetzt
Ardone, A.; Ahrens, M.; Düpmeier, C.; Fichtner, W.; Hubschneider, S.; Keles, D.; Kraft, E.; Lehmann, N.; Leibfried, T.; Schmeck, H.
2020. (B. Haller, O. Langniß, A. Reuter, N. Spengler & Autoren: siehe Autorenverzeichnis, seitens KIT:, Hrsg.), Smart Grids-Plattform

Open database analysis of scaling and spatio-temporal properties of power grid frequencies
Rydin Gorjão, L.; Jumar, R.; Maass, H.; Hagenmeyer, V.; Yalcin, G. C.; Kruse, J.; Timme, M.; Beck, C.; Witthaut, D.; Schäfer, B.
2020. Nature Communications, 11 (1), Art.-Nr. 6362. doi:10.1038/s41467-020-19732-7

Early decarbonisation of the European energy system pays off
Victoria, M.; Zhu, K.; Brown, T.; Andresen, G. B.; Greiner, M.
2020. Nature Communications, 11 (1), Art.-Nr. 6223. doi:10.1038/s41467-020-20015-4

In vivo Histology of the Cornea – from the “Rostock Cornea Module” to the “Rostock Electronic Slit Lamp” – a Clinical “Proof of Concept” Study
Bohn, S.; Stahnke, T.; Sperlich, K.; Linke, S. J.; Farrokhi, S.; Klemm, M.; Allgeier, S.; Köhler, B.; Reichert, K.-M.; Witt, M.; Stachs, O.; Guthoff, R. F.
2020. Klinische Monatsblätter für Augenheilkunde, 237 (12), 1442–1454. doi:10.1055/a-1297-4717

Hybrid low-voltage physical unclonable function based on inkjet-printed metal-oxide transistors
Scholz, A.; Zimmermann, L.; Gengenbach, U.; Koker, L.; Chen, Z.; Hahn, H.; Sikora, A.; Tahoori, M. B.; Aghassi-Hagmann, J.
2020. Nature Communications, 11 (1), Art.-Nr. 5543. doi:10.1038/s41467-020-19324-5

Architectured Lattice Materials with Tunable Anisotropy: Design and Analysis of the Material Property Space with the Aid of Machine Learning
Kulagin, R.; Beygelzimer, Y.; Estrin, Y.; Schumilin, A.; Gumbsch, P.
2020. Advanced engineering materials, 22 (12), Art.Nr. 2001069. doi:10.1002/adem.202001069

Decomposition of non-convex optimization via bi-level distributed ALADIN
Engelmann, A.; Jiang, Y.; Houska, B.; Faulwasser, T.
2020. IEEE transactions on control of network systems, 7 (4), 1848–1858. doi:10.1109/TCNS.2020.3005079

Automated high-throughput heartbeat quantification in medaka and zebrafish embryos under physiological conditions
Gierten, J.; Pylatiuk, C.; Hammouda, O. T.; Schock, C.; Stegmaier, J.; Wittbrodt, J.; Gehrig, J.; Loosli, F.
2020. Scientific reports, 10 (1), Article no: 2046. doi:10.1038/s41598-020-58563-w

Analyse des Flug- und Abbrandverhaltens von Ersatzbrennstoffen auf Basis eines Lichtfeldkamerasystems
Zhang, M.; Vogelbacher, M.; Aleksandrov, K.; Gehrmann, H.-J.; Matthes, J.
2020. Forum Bildverarbeitung 2020. Hrsg.: T. Längle, 105–117, KIT Scientific Publishing

Approaches for Solution-Processed Encapsulation of Printed Medical Wearable Devices
Chen, Z.; Gengenbach, U.; Koker, L.; Mansour, M.
2020. Current directions in biomedical engineering, 6 (3), 131–134. doi:10.1515/cdbme-2020-3034

Model Predictive Control Strategies for Power to Heat of Buildings
Frahm, M.
2020, November 20. Symposium "Energie-Campus" der Stiftung Energie & Klimaschutz im Rahmen des Ideenwettbewerbs "Energie und Umwelt - Meine Idee für morgen" (2020), Stuttgart, Deutschland, 20. November 2020

Microservice-based Reference Architecture for Semantics-aware Measurement Systems. Dissertation
Braun, E.
2020, November 17. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000125950

3D Imaging Technique for High-Resolution Slit Lamp Microscopy in Ophthalmology
Kornelius, L.; Allgeier, S.; Bohn, S.; Reichert, K.-M.; Sperlich, K.; Stachs, O.; Köhler, B.
2020. Biomedical engineering, 65 (s1), S126

Lessons learned from zebrafish image analysis projects
Mikut, R.
2020, November. 3rd BIOMEDAQU Course - Summer School Bone Visualisation and Imaging of Skeletal Development (2020), Online, 17.–20. November 2020

Convergence of Mixed-Integer ALADIN
Murray, A.; Hagenmeyer, V.
2020. 4th International Conference on Algorithms, Computing and Systems, Berlin, 18.-20. September 2020, Association for Computing Machinery (ACM)

A New Distributed Optimization Algorithm for MINLPs with Affinely Coupled Decision Variables
Murray, A.; Hagenmeyer, V.
2020. 4th International Conference on Algorithms, Computing and Systems, Berlin, 18.-20. September 2020, Association for Computing Machinery (ACM)

WaSam, a Modularly Designed Fluid Downhole Sampler for Deep Geothermal Applications
Berentelg, G.; Spatafora, L.; Hagenmeyer, V.
2020. Geothermal Resources Council Virtual Annual Meeting and Expo: Clean, Renewable and Always On, GRC 2020; Virtual, Online; ; 19 October 2020 through 23 October 2020, 535–541, Geothermal Resources Council (GRC)

Energy planning using 3D spatial models
Nichersu, A.
2020. doi:10.5445/IR/1000124784

Practical Implementation of Industry 4.0: Human involvement in modern production processes = Praktische Umsetzung des Industrie 4.0-Konzepts: Die Rolle des Menschen in modernen Produktionsprozessen
Scholz, S. G.
2020, Oktober 14. Mensch Maschine Produktion, MMP-Symposium (2020), Online, 14. Oktober 2020

On Verification of Designed Energy Systems Using Distributed Co-Simulations
Erdmann, A.; Marcellan, A.; Hering, D.; Suriyah, M.; Ulbrich, C.; Henke, M.; Xhonneux, A.; Müller, D.; Schlatmann, R.; Hagenmeyer, V.
2020. 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 25–32, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DS-RT50469.2020.9213689

Semi-Automatic Generation Of Tight Binary Masks And Non-Convex Isosurfaces For Quantitative Analysis Of 3d Biological Samples
Bhide, S.; Mikut, R.; Leptin, M.; Stegmaier, J.
2020. 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, United Arab Emirates, 25-28 Oct. 2020, 2820–2824, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICIP40778.2020.9190951

Towards Smart Buildings: A Versatile Acquisition Setup for Indoor Climate Data
Sauer, D.; Jumar, R.; Lutz, R.; Schlachter, T.; Schmitt, C.; Hagenmeyer, V.
2020. 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), The Hague, Netherlands, Netherlands, 26-28 Oct. 2020, 1196–1200, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248925

Point and contextual anomaly detection in building load profiles of a university campus
Wang, L.; Turowski, M.; Zhang, M.; Riedel, T.; Beigl, M.; Mikut, R.; Hagenmeyer, V.
2020. 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 11–15, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248792

Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study
Zhou, B.; Svetashova, Y.; Byeon, S.; Pychinski, T.; Mikut, R.; Kharlamov, E.
2020, Oktober. 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Online, 19.–23. Oktober 2020

Predicting Quality of Automated Welding with Machine Learning and Semantics – A Bosch Case Study
Zhou, B.; Svetashova, Y.; Byeon, S.; Pychynski, T.; Mikut, R.; Kharlamov, E.
2020. CIKM ’20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. Ed.: M. d’Aquin, 2933–2940, Association for Computing Machinery (ACM). doi:10.1145/3340531.3412737

SemFE: Facilitating ML Pipeline Development with Semantics
Zhou, B.; Svetashova, Y.; Pychinski, T.; Baimuratov, I.; Soylu, A.; Kharlamov, E.
2020, Oktober. 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Online, 19.–23. Oktober 2020

SemFE – Facilitating ML Pipeline Development with Semantics
Zhou, B.; Svetashova, Y.; Pychynski, T.; Baimuratov, I.; Soylu, A.; Kharlamov, E.
2020. CIKM ’20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. Ed.: M. d’Aquin, 3489–3492, Association for Computing Machinery (ACM). doi:10.1145/3340531.3417436

Towards Automatic Embryo Staging in 3D+T Microscopy Images using Convolutional Neural Networks and PointNets
Traub, M.; Stegmaier, J.
2020

Dynamic Modeling of Wind and Solar Power Generation with Grid Support for Large-Scale Integration in Power Systems
Kyesswa, M.; Cakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2020. IEEE PES Innovative Smart Grid Technologies (ISGT-Europe ), 569–573, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248883

Automated fabrication of hybrid printed electronic circuits
Gengenbach, U.; Ungerer, M.; Koker, L.; Reichert, K.-M.; Stiller, P.; Allgeier, S.; Köhler, B.; Zhu, X.; Huang, C.; Hagenmeyer, V.
2020. Mechatronics, 70, 102403. doi:10.1016/j.mechatronics.2020.102403

Data-Driven Methods for Demand-Side Flexibility in Energy Systems. Dissertation
Ludwig, N. N.
2020, September 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000123985

Mobile, Volatile, and Incomplete Data on the Web
Crowe, M.; Ehrlinger, L.; Laux, F.; Schmidt, A.
2020, September 27. 12th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2020), Online, 27. September 2020

A Review on Country Specific Data Availability and Acquisition Techniques for City Quarter Information Modelling for Building Energy Analysis
Malhotra, A.; Bischof, J.; Allan, J.; O’Donnell, J.; Schwenglers, T.; Benner Joachim; Schweiger, G.
2020, September 25. BauSIM (2020), Online, 23.–25. September 2020

FlexKälte: Flexibilisierung vorhandener Kälteanlagen und deren optimierter Einsatz in einer Realweltanwendung
Frahm, M.; Schorn, L.
2020, September 21. Energiewendetage Baden-Württemberg (2020), Stuttgart/Karlsruhe, 19.–21. September 2020

Modeling Curtailment in Germany: How Spatial Resolution Impacts Line Congestion
Frysztacki, M.; Brown, T. W.
2020

„Mit künstlicher Intelligenz gegen betrügerische Online-Angebote“ - Das INSPECTION-Projekt am Karlsruher Institut für Technologie bekämpft Fakeshops - Campus-Report am 08.09.2020
Fuchs, S.; Mayer, P.; Volkamer, M.
2020. doi:10.5445/IR/1000123419

Unconventional monetary policy in a nonlinear quadratic model
Faulwasser, T.; Gross, M.; Semmler, W.; Loungani, P.
2020. Studies in nonlinear dynamics and econometrics, 24 (5), Art.-Nr.: 20190099. doi:10.1515/snde-2019-0099

3D imaging technique for high-resolution slit lamp microscopy in ophthalmology
Kornelius, L.; Allgeier, S.; Bohn, S.; Reichert, K.-M.; Sperlich, K.; Köhler, B.
2020, September. 54th Annual Conference of the German Society for Biomedical Engineering (DGBMT 2020), Online, 29. September–1. Oktober 2020

Modelling Curtailment in Germany: How spatial resolution impacts line congestion
Frysztacki, M.; Brown, T.
2020. 17th International Conference on the European Energy Market (EEM), Stockholm, S, September 16-18, 2020, Article no: 1241, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM49802.2020.9221886

Automatisierte Generierung eines 3D-Baumkatasters am Beispiel des KIT Campus Nord
Hurst, J.; Geiger, A.
2020. REAL CORP 2020: Shaping urban change - livable city regions for the 21st century : proceedings of the 25th International Conference on Urban Planning, Regional Development and Information Society : 15-18 September 2020, virtual conference. Ed.: Manfred Schrenk, Competence Center of Urban and Regional Planning (CORP) (CORP)

Toolbox zur nachhaltigen Optimierung von Energiesystemen
Sauer, D.; Langiu, M.; Baader, F.; Dahmen, M.; Xhonneux, A.; Sass, S.; Kappatou, C.; Hollermann, D.; Shu, D.; Schütz, T.; Faulwasser, T.; Gröll, L.; Hagenmeyer, V.; Müller, D.; Bardow, A.; Mitsos, A.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Deutschland, 28.–30. September 2020

Models, Data, Methods, and Optimization Benchmarks for Integrated Energy
Langiu, M.; Baader, F.; Sauer, D.; Dahmen, M.; Xhonneux, A.; Sass, S.; Kappatou, C.; Hollermann, D.; Shu, D.; Schütz, T.; Faulwasser, T.; Gröll, L.; Hagenmeyer, V.; Bardow, A.; Mitsos, A.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Deutschland, 28.–30. September 2020

Using a scientific workflow platform for simulating the operation of a composed distributed energy resource
Poppenborg, R.; Liu, J.; Düpmeier, C.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Deutschland, 28.–30. September 2020

ICT-Platform for Designing, Testing and Evaluating Energy System Solutions in Real-World Laboratories
Redder, F.; Braun, E.; Düpmeier, C.; Liu, J.; Westphal, L.; Stucky, U.; Xhonneux, A.; Hagenmeyer, V.; Müller, D.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Deutschland, 28.–30. September 2020

Code Generation for Database Developers
Schmidt, A.; Scholz, S.
2020, September. 12th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2020), Online, 27. September 2020

BeadNet: Deep learning-based bead detection and counting in low-resolution microscopy images
Scherr, T.; Streule, K.; Bartschat, A.; Böhland, M.; Stegmaier, J.; Reischl, M.; Orian-Rousseau, V.; Mikut, R.
2020. Bioinformatics, 36 (17), 4668–4670. doi:10.1093/bioinformatics/btaa594

Robust scheduling of Electric Vehicle Charging in LV Distribution Networks under Uncertainty
Sun, W.; Neumann, F.; Harrison, G. P.
2020. IEEE transactions on industry applications, 56 (5), 5785–5795. doi:10.1109/TIA.2020.2983906

Identification and Localization of Cyber-Attacks in Industrial Facilities
Reibelt, K.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2020, August 31. 30. European Symposium on Computer Aided Process Engineering (ESCAPE 2020), Online, 31. August–2. September 2020

Identification and Localization of Cyber-Attacks in Industrial Facilities
Reibelt, K.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2020. ESCAPE 30, 30th European Symposium on Computer Aided Process Engineering, Milan, Italy, 30 August 2020 – 2 September 2020. Ed.: S. Pierucci, 1747–1752, Elsevier

Reproducibility of two calibration procedures for phase-measuring deflectometry
Allgeier, S.; Gengenbach, U.; Köhler, B.; Reichert, K.-M.; Hagenmeyer, V.
2020. Interferometry XX : 24 August - 4 September 2020, online only, United States. Ed.: M.B. North Morris, 14, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2567092

Zum 80. Geburtstag von Professor Dr.-Ing. habil. Jürgen Wernstedt
Rauschenbach, T.; Bretthauer, G.
2020. Automatisierungstechnik, 68 (8), 705–707. doi:10.1515/auto-2020-0113

Grundprinzipien für die Abschätzung von Einzugsbereichen in Totzeitsystemen
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2020. Automatisierungstechnik, 68 (8), 667–686. doi:10.1515/auto-2020-0034

Development of Precision Additive Manufacturing Processes
Elkaseer, A.; Charles, A. P.; Scholz, S. G.
2020. Precision additive metal manufacturing. Ed.: R. Leach, 35–68, CRC Press. doi:10.1201/9780429436543-3

Elucidating Mechanisms Underlying Experimentally Induced Changes in the Zebrafish Circadian Clock
Kumpost, V.
2020, August. Society for Mathematical Biology - Annual Meeting (SMB 2020), Online, 17.–20. August 2020

Erstellung von effektiven Sensibilisierungsmaterialien zur Passwortsicherheit
Mayer, P.; Ballreich, F.; Düzgün, R.; Schwarz, C.; Volkamer, M.
2020. Datenschutz und Datensicherheit, 44 (8), 522–527. doi:10.1007/s11623-020-1318-9

The effect of lipidation and glycosylation on short cationic antimicrobial peptides
Grimsey, E.; Collis, D. W. P.; Mikut, R.; Hilpert, K.
2020. Biochimica et biophysica acta / Biomembranes, 1862 (8), Art.Nr.: 183195. doi:10.1016/j.bbamem.2020.183195

Parallel Time-Domain Power System Simulation Toolbox in Julia
Kyesswa, M.
2020, Juli 31. JuliaCon (2020), Online, 29.–31. Juli 2020

Transportmodelle für Flüssigkeitsfilme
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2020. Automatisierungstechnik, 68 (8), 625–640. doi:10.1515/auto-2020-0016

GPU-accelerated ray-casting for 3D fiber orientation analysis
Shkarin, R.; Shkarina, S.; Weinhardt, V.; Surmenev, R. A.; Surmeneva, M. A.; Shkarin, A.; Baumbach, T.; Mikut, R.
2020. PLOS ONE, 15 (7), Article: e0236420. doi:10.1371/journal.pone.0236420

AI Word of the Week
Heidrich, B.
2020, Juli 12

Report on international experiences with E1st
Pató, Z.; Broc, J.-S.; Boza-Kiss, B.; Frahm, M.; Mandel, T.; Boll, J. R.; Santini, M.; Schmatzberger, S.; Wohlfahrt, K.
2020. doi:10.5445/IR/1000137325

On complexity reduction of the discrete-event subsystem of Flat Hybrid Automata for control design
Kleinert, T.; Zahn, F.; Hagenmeyer, V.
2020. Automatisierungstechnik, 68 (7), 529–540. doi:10.1515/auto-2020-0061

Opinion Behavior Analysis in Social Networks Under the Influence of Coopetitive Media
Xue, D.; Hirche, S.; Cao, M.
2020. IEEE transactions on network science and engineering, 7 (3), 961–974. doi:10.1109/TNSE.2019.2894565

Approximating Power Flow and Transmission Losses in Coordinated Capacity Expansion Problems
Neumann, F.; Hagenmeyer, V.; Brown, T.
2020

Costs of Regional Equity and Autarky in a Renewable European Power System
Neumann, F.
2020. arXiv:2007.08379

Clustering Dataset
Frysztacki, M.; Hörsch, J.; Hagenmeyer, V.; Brown, T. W.
2020. doi:10.5281/zenodo.3965781

FRET Dyes Significantly Affect SAXS Intensities of Proteins
Reinartz, I.; Weiel, M.; Schug, A.
2020. Israel journal of chemistry, 60 (7), 725–734. doi:10.1002/ijch.202000007

GML-Toolbox 11.1 : Benutzerhandbuch - Datum: März 2020
Benner, J.
2020. Karlsruher Institut für Technologie (KIT)

Recent Developments in Ozone Sensor Technology for Medical Applications
Petani, L.; Koker, L.; Herrmann, J.; Hagenmeyer, V.; Gengenbach, U.; Pylatiuk, C.
2020. Micromachines, 11 (6), Article: 624. doi:10.3390/mi11060624

Mathematical Measures for calibration and evaluation of gas sensor data
Seifert, R.; Keller, H., B.
2020. SMSI 2020 Conference – Sensor and Measurement Science International. doi:10.5162/SMSI2020/P4.6

PHIL Testing Experience at KIT: Experimental Validations of New Technologies
Hubschneider, S.; Waczowicz, S.; Wiegel, F.; Karrari, S.; Sousa, W. T. B. de; De Carne, G.; Geisbüsch, J.; Hiller, M.; Leibfried, T.; Hagenmeyer, V.; Noe, M.
2020, Juni 18. RT20: Opal-RT’s 12th Conference on Real-Time Simulation (2020), Online, 18. Juni 2020

The bioliq® Entrained-Flow Gasifier - A Model for the German Energiewende
Eberhard, M.; Santo, U.; Michelfelder, B.; Günther, A.; Weigand, P.; Matthes, J.; Waibel, P.; Hagenmeyer, V.; Kolb, T.
2020. ChemBioEng reviews, 7 (4), 1–14. doi:10.1002/cben.202000006

PyPSA-Eur: An Open Optimisation Model of the European Transmission System (v0.2.0, Code)
Hörsch, J.; Neumann, F.; Hofmann, F.; Schlachtberger, D.; Brown, T.
2020. doi:10.5281/zenodo.3885701

PyPSA-Eur: An Open Optimisation Model of the European Transmission System (v0.2.0, Dataset)
Hörsch, J.; Neumann, F.; Hofmann, F.; Schlachtberger, D.; Brown, T.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5281/zenodo.3886532

Energy-Based Stochastic MPC for Integrated Electricity-Hydrogen VPP in Real-Time Markets
Appino, R. R.; Wang, H.; Gonzales Ordiano, J. A.; Faulwasser, T.; Mikut, R.; Hagenmeyer, V.; Mancarella, P.
2020, Juni. 21st Power Systems Computation Conference (PSCC 2020), Porto, Portugal, 29. Juni–3. Juli 2020

Transmission Expansion Planning Using Cycle Flows
Neumann, F.; Brown, T.
2020. Proceedings of the Eleventh ACM International Conference on Future Energy Systems, Melbourne, Australia from 22nd to 26th of June 2020, 253–263, Association for Computing Machinery (ACM). doi:10.1145/3396851.3397688

Forecasting energy time series with profile neural networks
Heidrich, B.; Turowski, M.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2020. e-Energy ’20: The Eleventh ACM International Conference on Future Energy Systems, Virtual Event, Australia, June, 2020, 220–230, Association for Computing Machinery (ACM). doi:10.1145/3396851.3397683

Hydrogen refueling station networks for heavy-duty vehicles in future power systems
Rose, P. K.; Neumann, F.
2020. Transportation research / D, 83, Article no: 102358. doi:10.1016/j.trd.2020.102358

DaNa2.0 – Daten und Wissen zu Nanomaterialien: Aufbereitung gesellschaftlich relevanter naturwissenschaftlicher Fakten - Schlussbericht DaNa2.0 - Einzelantrag KIT
Nau, K.; Marquardt, C.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000119854

Ein neues Konzept für eine serviceorientierte Datenhaltungsplattform für Lebenszyklusdaten. Dissertation
Kusche, O.
2020, Mai 22. Karlsruher Institut für Technologie (KIT)

Optimal Experiment Design for AC Power Systems Admittance Estimation
Du, X.; Engelmann, A.; Jiang, Y.; Faulwasser, T.; Houska, B.
2020

Maschinelles Lernen und Künstliche Intelligenz – Eine Revolution in der Automatisierungstechnik oder nur ein Hype?
Mikut, R.
2020. Automatisierungstechnik, 68 (5), 295–300. doi:10.1515/auto-2020-0041

Segregation of Dispersed Silica Nanoparticles in Microfluidic Water‐in‐Oil Droplets: A Kinetic Study
Sheshachala, S.; Grösche, M.; Scherr, T.; Hu, Y.; Sun, P.; Bartschat, A.; Mikut, R.; Niemeyer, C. M.
2020. ChemPhysChem, 21 (10), 1070–1078. doi:10.1002/cphc.201901151

Transmission Expansion Planning Using Cycle Flows
Brown, T.; Neumann, F.
2020

Polychaos.jl - A Julia package for polynomial chaos in systems and control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020

PolyChaos.jl -- A Julia Package for Polynomial Chaos in Systems and Control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020

The strong effect of resource granularity and network bottlenecks on highly renewable electricity system models
Frysztacki, M.; Brown, T. W.
2020, April 3. Workshop Aggregation Methods for Renewable Infeed Profiles in Energy System Models (2020), Duisburg, Deutschland, 2.–3. April 2020

Submission of KIT-LS-GE
Löffler, K.; Scherr, T.
2020, April 3. Workshop : ISBI Cell Tracking Challenge at the IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, IA, USA, 3.–7. April 2020

Assessment of high-resolution 3D printed optics for the use case of rotation optics
Sieber, I.; Thelen, R.; Gengenbach, U.
2020. Optics express, 28 (9), 13423–13431. doi:10.1364/OE.391697

Model compendium, data, and optimization benchmarks for sector-coupled energy systems
Sass, S.; Faulwasser, T.; Hollermann, D. E.; Kappatou, C. D.; Sauer, D.; Schütz, T.; Shu, D. Y.; Bardow, A.; Gröll, L.; Hagenmeyer, V.; Müller, D.; Mitsos, A.
2020. Computers & chemical engineering, 135, Art. Nr.: 106760. doi:10.1016/j.compchemeng.2020.106760

Cyber-Physical Security of Communication Networks in IEC 61850 Electrical Substations
Ghada Elbez
2020, März 26. Cyber Resilient Energy Delivery Consortium Seminar, University of Illinois at Urbana-Champaign (CREDC/UIUC 2020), Urbana, IL, USA, 26. März 2020

Python for Power System Analysis (PyPSA) Version 0.17.0
Brown, T.; Hörsch, J.; Schlachtberger, D.; Neumann, F.; Hofmann, F.
2020. doi:10.5281/zenodo.3724336

Coping with Concept Drifts in Load Forecasting using Machine Learning
Heidrich, B.; Turowski, M.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2020, März 5. Helmholtz AI Kick-Off Meeting (2020), München, Deutschland, 4.–5. März 2020

The Helmholtz Metadata Collaboration (HMC) - addressing the meta-data problem
Lorenz, S.; Denker, M.; Finke, A.; Langenbach, C.; Stotzka, R.; Ückert, F.; Görzig, H.; Höpker, T.; Süß, W.; Jejkal, T.; Soeding, E.
2020, März. Helmholtz AI Kick-Off Meeting (2020), München, Deutschland, 4.–5. März 2020

DeepDB – learn from data, not from queries!
Hilprecht, B.; Schmidt, A.; Kulessa, M.; Molina, A.; Kersting, K.; Binnig, C.
2020. Proceedings of the VLDB Endowment, 13 (7), 992–1005. doi:10.14778/3384345.3384349

Überwachung von Brückeninfrastrukturen : Neuer Ansatz von konventionellen und berührungslosen Sensoren
Keller, S.; Michel, C.; Schneider, O.; Müller, J.; Arnold, M.; Döring, A.; Hoyer, M.; Hinz, S.; Keller, H. B.
2020. Brückenbau, (3), 22–29

High‐Throughput Screening of Cell Transfection Enhancers Using Miniaturized Droplet Microarrays
Liu, Y.; Tronser, T.; Peravali, R.; Reischl, M.; Levkin, P. A.
2020. Advanced biosystems, 4 (3), 1900257. doi:10.1002/adbi.201900257

Lessons learned - PISEA Ergebnis in Safety und IT-Security
Keller, H.
2020, Februar 28. 7. Berliner Gesamtkonferenz der Sicherheitsinstitutionen (BGKdSI 2020), Berlin, Deutschland, 27.–28. Februar 2020

The Forecasting Toolbox of the MATLAB-Toolbox SciXMine
Gonzalez Ordiano, J. A.; Mikut, R.
2020. Karlsruher Institut für Technologie (KIT). doi:10.13140/RG.2.2.31678.84801/1

FE Simulation of Inertia Friction Welding of Similar PVC-PVC and PA6-PA6 Hollow Cylinders for Process Optimization
Kouta, H.; Elsanabary, S.; El Hadek, M.; Elkaseer, A.
2020. Sylwan, 164 (1), 407–428

Design of a Web-Service for Formal Descriptions of Domain-Specific Data
Sidler, J.; Braun, E.; Schlachter, T.; Düpmeier, C.; Hagenmeyer, V.
2020. Environmental Software Systems. Data Science in Action – 13th IFIP WG 5.11 International Symposium, ISESS 2020, Wageningen, The Netherlands, February 5–7, 2020, Proceedings. Ed.: I. Athanasiadis, 201–215, Springer International Publishing. doi:10.1007/978-3-030-39815-6_20

Künstliche Intelligenz in der Anwendung - Potenziale und Grenzen der Kooperation mit Frankreich und anderen europäischen Ländern
Keller, H.
2020, Januar 22. Meeting Point Internationalisierung der ClusterAgentur Baden-Württemberg (2020), Stuttgart, Deutschland, 21.–22. Januar 2020

Getting startet with PyPSA-Eur: An Open Optimisation Model for the European Power System
Zeyen, E.; Frysztacki, M.; Hofmann, F.; Hörsch, J.; Neumann, F.; Brown, T.
2020, Januar 16. 10th Open Energy Modelling Workshop - Berlin 2020 (2020), Berlin, Deutschland, 15.–17. Januar 2020

Python for Power System Analysis (PyPSA) Version 0.16.0
Brown, T.; Hörsch, J.; Schlachtberger, D.
2020, Januar 10. doi:10.5281/zenodo.3604277

ALADIN-α – An open-source MATLAB toolbox for distributed non-convex optimization
Engelmann, A.; Jiang, Y.; Benner, H.; Ou, R.; Houska, B.; Faulwasser, T.
2020

A Generic Flexible and Scalable Framework for Hierarchical Parallelization of Population-Based Metaheuristics
Khalloof, H.; Mohammad, M.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2020. Proceedings of the 12th International Conference on Management of Digital EcoSystems (MEDES’20), 2nd - 4th November 2020, Online. Ed.: Richard Chbeir, 124–131, Association for Computing Machinery (ACM). doi:10.1145/3415958.3433041

Polychaos.jl - A Julia package for polynomial chaos in systems and control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020. 21th IFAC World Congress. Ed.: R. Findeisen, 7210–7216, Elsevier. doi:10.1016/j.ifacol.2020.12.552

Control and communication technologies for wireline borehole probes and inspection systems in hot geothermal environments
Dietze, S.
2020. Geothermal Resources Council Virtual Annual Meeting and Expo: Clean, Renewable and Always On, GRC 2020; Virtual, Online; ; 19 October 2020 through 23 October 2020, 38–45, Geothermal Resources Council (GRC)

Dynamic modelling and control for assessment of large-scale wind and solar integration in power systems
Kyesswa, M.; Çakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2020. IET Renewable Power Generation, 14 (19), 4010–4018. doi:10.1049/iet-rpg.2020.0458

Towards classification of technical sound events with deep learning models
Rieder, C.; Germann, M.; Scherer, K. P.
2020. WM in digitalen Arbeitswelten – Aktuelle Ansätze und Perspektiven, Proceedings 10. Konferenz Prof. WM, Potsdam 18.-20.03.2019. Hrsg.: P. Heisig, 188–193, Gesellschaft für Informatik (GI)

ED4GAP: Efficient Detection for GOOSE-Based Poisoning Attacks on IEC 61850 Substations
Bohara, A.; Ros-Giralt, J.; Elbez, G.; Valdes, A.; Nahrstedt, K.; Sanders, W. H.
2020. 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 11-13 November 2020, online, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm47815.2020.9303015

Evaluation of semi-supervised learning using sparse labeling to segment cell nuclei
Bruch, R.; Rudolf, R.; Mikut, R.; Reischl, M.
2020. Current directions in biomedical engineering, 6 (3), Art.Nr. 20203103. doi:10.1515/cdbme-2020-3103

Precision hard turning of ti6al4v using polycrystalline diamond inserts: Surface quality, cutting temperature and productivity in conventional and high-speed machining
Abdelnasser, E.; Barakat, A.; Elsanabary, S.; Nassef, A.; Elkaseer, A.
2020. Materials, 13 (24), Art.Nr. 5677. doi:10.3390/ma13245677

Potential of Ensemble Copula Coupling for Wind Power Forecasting
Phipps, K.; Ludwig, N.; Hagenmeyer, V.; Mikut, R.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 87–109, KIT Scientific Publishing

CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings
Bäuerle, S.; Barth, J.; Tavares, E. de M.; Steimer, A.; Mikut, R.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 33–52, KIT Scientific Publishing

Annotating Automotive Radar efficiently: Semantic Radar Labeling Framework (SeRaLF)
Isele, S. T.; Schilling, M. P.; Klein, F. E.; Zoellner, M. J.
2020. Conference on Neural Information Processing Systems, Sun Dec 6th through Sat the 12th

Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy
Scherr, T.; Löffler, K.; Böhland, M.; Mikut, R.
2020. PLOS ONE, 15 (12), Art. Nr.: e0243219. doi:10.1371/journal.pone.0243219

On Grid Partitioning in AC Optimal Power Flow
Murray, A.; Kyesswa, M.; Schmurr, P.; Cakmak, H.; Hagenmeyer, V.
2020. IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 524–528, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248824

Application of Machine Learning to XRD Phase Identification
Schützke, J.; Jones, B.; Henderson, N.; Rodesney, N.; Benedix, A.; Knorr, K.; Mikut, R.; Reischl, M.
2020. Denver X-Ray Conference (2020), Denver, CO, USA, 17.–20. August 2020

Siamese Networks for 1D Signal Identification
Schützke, J.; Benedix, A.; Mikut, R.; Reischl, M.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 17–31, KIT Scientific Publishing

Transforming Lidar Point Cloud Characteristics Between Different Datasets Using Image-to-Image Translation
Berens, F.; Knapp, Y.; Reischl, M.; Elser, S. T.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 73–86, KIT Scientific Publishing

Comparative evaluation of surface quality, tool wear, and specific cutting energy for wiper and conventional carbide inserts in hard turning of aisi 4340 alloy steel
Abbas, A. T.; Anwar, S.; Hegab, H.; Benyahia, F.; Ali, H.; Elkaseer, A.
2020. Materials, 13 (22), Art.-Nr.: 5233. doi:10.3390/ma13225233

Mitigating heat demand peaks in buildings in a highly renewable European energy system
Zeyen, E.; Hagenmeyer, V.; Brown, T.
2020

A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics
Khalloof, H.; Jakob, W.; Shadoud, S.; Duepmeier, C.; Hagenmeyer, V.
2020

SemML: Reusable ML for condition monitoring in discrete manufacturing
Svetashova, Y.; Zhou, B.; Schmid, S.; Pychinsky, T.; Kharlamov, E.
2020. CEUR workshop proceedings, 2721, 214–218

Semantic ML for manufacturing monitoring at Bosch
Zhou, B.; Svetashova, Y.; Pychynski, T.; Kharlamov, E.
2020. CEUR workshop proceedings, 2721, 397–398

Distributed Power Flow and Distributed Optimization - Formulation, Solution, and Open Source Implementation
Mühlpfordt, T.; Dai, X.; Engelmann, A.; Hagenmeyer, V.
2020. Cornell University. doi:10.5445/IR/1000126668

On modelling effects in the battery and thermal storage scheduling problem
Murray, A.; Schütz, T.; Pan, G.; Müller, D.; Hagenmeyer, V.
2020. Journal of building performance simulation, 14 (1), 38–51. doi:10.1080/19401493.2020.1838611

MondoA regulates gene expression in cholesterol biosynthesis-associated pathways required for zebrafish epiboly
Weger, M.; Weger, B. D.; Schink, A.; Takamiya, M.; Stegmaier, J.; Gobet, C.; Parisi, A.; Kobitski, A. Y.; Mertes, J.; Krone, N.; Strähle, U.; Nienhaus, G. U.; Mikut, R.; Gachon, F.; Gut, P.; Dickmeis, T.
2020. eLife, 9, Art. Nr. e57068. doi:10.7554/eLife.57068

On Optimal Control of Flat Hybrid Automata
Zahn, F.; Kleinert, T.; Hagenmeyer, V.
2020. IFAC World Congress 2020, Germany, July 11 - 17, 2020. Ed.: R. Findeisen, 6800–6805, Elsevier. doi:10.1016/j.ifacol.2020.12.332

Evaluation of Semi-Supervised Learning Using Sparse Labeling to Segmet Cell Nuclei
Bruch, R.; Rudolf, R.; Mikut, R.; Reischl, M.
2020. 54th Annual Conference of the German Society for Biomedical Engineering (DGBMT 2020), Online, 29. September–1. Oktober 2020

Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches
Sharma, V.; Gonzales, O.; Jorge, A.; Mikut, R.; Cali, U.
2020. 40th International Symposium on Forecasting (ISF 2020), Online, 26.–28. Oktober 2020

Ontology-Enhanced Machine Learning : A Bosch Use Case of Welding Quality Monitoring
Svetashova, Y.; Zhou, B.; Pychynski, T.; Schmidt, S.; Sure-Vetter, Y.; Mikut, R.; Kharlamov, E.
2020. The Semantic Web - ISWC 2020 : 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, Proceedings, Part II. Ed.: J. Pan, 531–550, Springer International Publishing. doi:10.1007/978-3-030-62466-8_33

Towards automatic embryo staging in 3d+t microscopy images using convolutional neural networks and pointnets
Traub, M.; Stegmaier, J.
2020. Simulation and Synthesis in Medical Imaging: 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Ed.: N. Burgos, 153–163, Springer. doi:10.1007/978-3-030-59520-3_16

Detection of DoS Attacks Using ARFIMA Modeling of GOOSE Communication in IEC 61850 Substations
Elbez, G.; Keller, H. B.; Bohara, A.; Nahrstedt, K.; Hagenmeyer, V.
2020. Energies, 13 (19), Art.-Nr. 5176. doi:10.3390/en13195176

Sensitivity of input data in building heating energy demand simulation
Geiger, A.; Nichersu, A.; Hagenmeyer, V.
2020. BauSIM 2020, 23. - 25. September 2020, Graz

A New Julia-Based Parallel Time-Domain Simulation Algorithm for Analysis of Power System Dynamics
Kyesswa, M.; Schmurr, P.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2020. 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Prag, CZ, September 14-16, 2020. Vol. 1, 9 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DS-RT50469.2020.9213602

Prognosen für Energiesysteme der Zukunft: Methoden und Tools
Mikut, R.; González Ordiano, J. A. L., Nicole; Hagenmeyer, V.
2020. ES2050-Abschlusskonferenz (2020), Berlin, Deutschland, 28.–30. September 2020

DBKDA 2020: Proceedings of the Twelfth International Conference on Advances in Databases, Knowledge, and Data Applications
Crowe, M.; Ehrlinger, L.; Laux, F.; Schmidt, A.
2020

3Dprinted highly compact varifocal optics
Sieber, I.; Thelen, R.; Gengenbach, U.
2020. 3D Image Acquisition and Display: Technology, Perception and Applications : part of Imaging and Applied Optics Congress : 22-26 June 2020, Washington, DC, Article no: ITh4E.5, Optica Publishing Group (OSA). doi:10.1364/ISA.2020.ITh4E.5

Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020
Schulte, H.; Hoffmann, F.; Mikut, R. (Hrsg.)
2020. KIT Scientific Publishing. doi:10.5445/KSP/1000124139

Principle Structure and Architecture of a Code Generator
Schmidt, A.
2020. The Twelfth International Conference on Advances in Databases, Knowledge, and Data Applications

In-Process Digital Monitoring of Additive Manufacturing: Proposed Machine Learning Approach and Potential Implications on Sustainability
Charles, A. P.; Salem, M.; Moshiri, M.; Elkaseer, A.; Scholz, S. G.
2020. Sustainable Design and Manufacturing 2020 – Proceedings of the 7th International Conference on Sustainable Design and Manufacturing (KES-SDM 2020), 9-11 September 2020. Ed.: S. Scholz, 297–306, Springer. doi:10.1007/978-981-15-8131-1_27

Impact of Nonplanar 3D Printing on Surface Roughness and Build Time in Fused Filament Fabrication
Elkaseer, A.; Müller, T.; Rabsch, D.; Scholz, S. G.
2020. Sustainable Design and Manufacturing 2020 – Proceedings of the 7th International Conference on Sustainable Design and Manufacturing (KES-SDM 2020), 9-11 September 2020. Ed.: S. Scholz, 285–295, Springer. doi:10.1007/978-981-15-8131-1_26

An Industry 4.0 framework for tooling production using metal additive manufacturing-based first-time-right smart manufacturing system
Moshiri, M.; Charles, A. P.; Elkaseer, A.; Scholz, S.; Mohanty, S.; Tosello, G.
2020. Procedia CIRP, 93, 32–37. doi:10.1016/j.procir.2020.04.151

Stakeholder-Driven Conceptualization of Open Innovation Approaches in the SYNERGY Project
Fauth, J.; Marquardt, C.; Di Bari, G.; Raule, N.; Ronco, J. L.; Scholz, S. G.
2020. Sustainable Design and Manufacturing 2020 – Proceedings of the 7th International Conference on Sustainable Design and Manufacturing (KES-SDM 2020). Ed.: S. Scholz, 307–317, Springer. doi:10.1007/978-981-15-8131-1_28

Towards an Adaptive Design of Quality, Productivity and Economic Aspects When Machining AISI 4340 Steel With Wiper Inserts
Abbas, A. T.; Abubakr, M.; Elkaseer, A.; El Rayes, M. M.; Mohammed, M. L.; Hegab, H.
2020. IEEE access, 8, 159206–159219. doi:10.1109/ACCESS.2020.3020623

On polynomial real-time control policies in stochastic AC optimal power flow
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.; Roald, L.; Misra, S.
2020. Electric power systems research, 189, Art.-Nr.: 106792. doi:10.1016/j.epsr.2020.106792

3D MAPs discovers the morphological sequence chondrocytes undergo in the growth plate and the regulatory role of GDF5 in this process
Rubin, S.; Agrawal, A.; Stegmaier, J.; Svorai, J.; Addadi, Y.; Villoutreix, P.; Stern, T.; Zelzer, E.
2020. BioRxiv. doi:10.1101/2020.07.28.225409

Pax6 organizes the anterior eye segment by guiding two distinct neural crest waves
Takamiya, M.; Stegmaier, J.; Kobitski, A. Y.; Schott, B.; Weger, B. D.; Margariti, D.; Cereceda Delgado, A. R.; Gourain, V.; Scherr, T.; Yang, L.; Sorge, S.; Otte, J. C.; Hartmann, V.; Wezel, J. van; Stotzka, R.; Reinhard, T.; Schlunck, G.; Dickmeis, T.; Rastegar, S.; Mikut, R.; Nienhaus, G. U.; Strähle, U.
2020. PLoS Genetics, 16 (6), Art. Nr.: e1008774. doi:10.1371/journal.pgen.1008774

DBMS Fitting: Why should we learn what we already know
Hilprecht, B.; Bang, T.; Binnig, C.; El-Hindi, M.; Hättasch, B.; Khanna, A.; Rehrmann, R.; Röhm, U.; Schmidt, A.; Thostrup, L.; Ziegler, T.
2020. CIDR 2020, January 12-15, 2020 Amsterdam, Netherlands

A low-tech Approach to Serial Section Arrays
Spomer, W.; Hofmann, A.; Veit, L.; Gengenbach, U.
2020. Volume Microscopy. Hrsg.: I. Wacker, 79–96, Springer US. doi:10.1007/978-1-0716-0691-9_5

Characteristics-based Simulink Implementation of First-order Quasilinear Partial Differential Equations
Ponomarev, A.; Hofmann, J.; Gröll, L.
2020. Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. Ed.: F. De Rango, 139–146, SciTePress. doi:10.5220/0009569001390146

Eight Weeks Later - The Unprecedented Rise of 3D Printing during the COVID-19 Pandemic : a Case Study, Lessons Learned, and Implications on the Future of Global Decentralized Manufacturing
Mueller, T.; Elkaseer, A.; Charles, A. P.; Fauth, J.; Rabsch, D.; Scholz, A.; Marquardt, C.; Nau, K.; Scholz, S. G.
2020. Applied Sciences, 10 (12), 4135. doi:10.3390/app10124135

PyPSA-Eur-Sec Version 0.1.0
Brown, T.; Victoria, M.; Zeyen, E.
2020. Zenodo. doi:10.5281/zenodo.3938042

A New Synthetic Conduit for the Treatment of Peripheral Nerve Injuries
Uranues, S.; Bretthauer, G.; Tomasch, G.; Rafolt, D.; Nagele-Moser, D.; Berghold, A.; Kleinert, R.; Justich, I.; Waldert, J.; Koch, H.
2020. World journal of surgery, 44, 3373–3382. doi:10.1007/s00268-020-05620-0

Turnpike Properties in Discrete-Time Mixed-Integer Optimal Control
Faulwasser, T.; Murray, A.
2020. IEEE control systems letters, 4 (3), 704–709. doi:10.1109/LCSYS.2020.2988943

Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological Samples
Bhide, S.; Mikut, R.; Leptin, M.; Stegmaier, J.
2020

Design of Transformation Initiatives Implementing Organisational Agility -- An Empirical Study
Mikut, R.; Buerck, A.; Kovynyov, I.
2020. doi:10.5445/IR/1000120333

Data analytics in the electricity sector – A quantitative and qualitative literature review
Scheidt, F. vom; Medinová, H.; Ludwig, N.; Richter, B.; Staudt, P.; Weinhardt, C.
2020. Energy and AI, 1, Article no: 100009. doi:10.1016/j.egyai.2020.100009

Hybrid multi-chip assembly of optical communication engines by in situ 3D nano-lithography
Blaicher, M.; Billah, M. R.; Kemal, J.; Hoose, T.; Marin-Palomo, P.; Hofmann, A.; Kutuvantavida, Y.; Kieninger, C.; Dietrich, P.-I.; Lauermann, M.; Wolf, S.; Troppenz, U.; Moehrle, M.; Merget, F.; Skacel, S.; Witzens, J.; Randel, S.; Freude, W.; Koos, C.
2020. Light, 9 (1), 71. doi:10.1038/s41377-020-0272-5

A distributed modular scalable and generic framework for parallelizing population-based metaheuristics
Khalloof, H.; Ostheimer, P.; Jakob, W.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2020. Parallel Processing and Applied Mathematics : 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part I. Ed: R. Wyrzykowski, 432–444, Springer. doi:10.1007/978-3-030-43229-4_37

Ontology based information management for industrial applications
Germann, M.; Rieder, C.; Scherer, K. P.
2020. ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence. Vol. 2. Ed.: A. Rocha, 773–779, SciTePress

Schätzung einer zeitabhängigen Reproduktionszahl R für Daten mit einer wöchentlichen Periodizität am Beispiel von SARS-CoV-2-Infektionen und COVID-19
Mikut, R.; Mühlpfordt, T.; Reischl, M.; Hagenmeyer, V.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000119466

A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems
Shin, S.; Faulwasser, T.; Zanon, M.; Zavala, V. M.
2020. 58th IEEE Conference on Decision and Control (CDC), Nice, F, December 11-13, 2019, 5264–5271, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC40024.2019.9030139

Distributed State Estimation for AC Power Systems using Gauss-Newton ALADIN
Du, X.; Engelmann, A.; Jiang, Y.; Faulwasser, T.; Houska, B.
2020. 2019 IEEE 58th Conference on Decision and Control (CDC), 1919–1924, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC40024.2019.9028966

On norm-based estimations for domains of attraction in nonlinear time-delay systems
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2020. Nonlinear dynamics, 100, 2027–2045. doi:10.1007/s11071-020-05620-8

On the Assessment of Surface Quality and Productivity Aspects in Precision Hard Turning of AISI 4340 Steel Alloy: Relative Performance of Wiper vs. Conventional Inserts
Abbas, A. T.; El Rayes, M. M.; Luqman, M.; Naeim, N.; Hegab, H.; Elkaseer, A.
2020. Materials, 13 (9), Article: 2036. doi:10.3390/ma13092036

Experiment-Based Process Modeling and Optimization for High-Quality and Resource-Efficient FFF 3D Printing
Elkaseer, A.; Schneider, S.; Scholz, S. G.
2020. Applied Sciences, 10 (8), Article: 2899. doi:10.3390/app10082899

Dimensional Errors Due to Overhanging Features in Laser Powder Bed Fusion Parts Made of Ti-6Al-4V
Charles, A. P.; Elkaseer, A.; Thijs, L.; Scholz, S. G.
2020. Applied Sciences, 10 (7), Article: 2416. doi:10.3390/app10072416

Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review
Khajeh, H.; Laaksonen, H.; Gazafroudi, A. S.; Shafie-khah, M.
2020. Energies, 13 (1), Art. Nr.: 165. doi:10.3390/en13010165

A novel approach to label road defects in video data: semi-automated video analysis
Thumm, J.; Masino, J.; Knoche, M.; Gauterin, F.; Reischl, M.
2020. International journal on smart sensing and intelligent systems, 13 (1), 1–9. doi:10.21307/ijssis-2020-007

Advances in microcellular injection moulding
Llewelyn, G.; Rees, A.; Griffiths, C. A.; Scholz, S. G.
2020. Journal of cellular plastics, 56 (6), 646–674. doi:10.1177/0021955X20912207

Principles and Characteristics of Different EDM Processes in Machining Tool and Die Steels
Abu Qudeiri, J. E.; Zaiout, A.; Mourad, A.-H. I.; Abidi, M. H.; Elkaseer, A.
2020. Applied Sciences, 10 (6), Article no.: 2082. doi:10.3390/app10062082

Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting
Shahoud, S.; Khalloof, H.; Duepmeier, C.; Hagenmeyer, V.
2020. APPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems. Ed.: N. Petkov, 3378221, Association for Computing Machinery (ACM). doi:10.1145/3378184.3378221

Echtzeit-Monitoring und Optimierung der Sinterzone in Zementdrehrohröfen zur Stabilisierung der Klinkerqualität bei veränderlicher Zusammensetzung der Ersatzbrennstoffe
Hoyer, M.; Melerski, R.; Dittrich, A.; Vogelbacher, M.; Matthes, J.; Keller, H. B.
2020. Energie aus Abfall. Hrsg.: S. Thiel. Band 17, 773–786, Thomé-Kozmiensky Verlag GmbH

Entwicklung eines neuen Konzeptes für die Nutzung des Pupillennahreflexes für das Künstliche Akkommodationssystem. Dissertation
Rothmund, J.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000105311

Variability of running coordination in experts and novices: A 3D uncontrolled manifold analysis
Möhler, F.; Marahrens, S.; Ringhof, S.; Mikut, R.; Stein, T.
2020. European journal of sport science, 20 (9), 1187–1196. doi:10.1080/17461391.2019.1709561

The Near-Optimal Feasible Space of a Renewable Power System Model
Neumann, F.; Brown, T.
2020. 21st Power Systems Computation Conference, Porto, P, June 29 - July 03, 2020 (PSCC 2020)

Uncertainty Quantification via Polynomial Chaos Expansion – Methods and Applications for Optimization of Power Systems. Dissertation
Mühlpfordt, T.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000104661

The role of photovoltaics in a sustainable European energy system under variable CO${}_2$ emissions targets, transmission capacities, and costs assumptions
Victoria, M.; Zhu, K.; Brown, T.; Andresen, G. B.; Greiner, M.
2020. Progress in photovoltaics, 28 (6), 483–492. doi:10.1002/pip.3198

A note on efficient computation of privileged directions in modifier adaptation
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2020. Computers & chemical engineering, 132, Article No.106524. doi:10.1016/j.compchemeng.2019.106524

Modular Simulation Model for Falling Film Evaporators with Novel Approach to Manage Dominant Time-varying Transport Delays
Schwaer, C.; Hofmann, J.; Mühlpfordt, M.; Frank, A.; Gröll, L.
2020. Computers & chemical engineering, 132, Article: 106604. doi:10.1016/j.compchemeng.2019.106604

Software Toolkit for Visualization and Process Selection for Modular Scalable Manufacturing of 3D Micro-Devices
Scholz, S.; Elkaseer, A.; Salem, M.; Hagenmeyer, V.
2020. Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. Ed.: L. Borzemski, 160–172, Springer International Publishing. doi:10.1007/978-3-030-30440-9_16

Probabilistic energy forecasting using the nearest neighbors quantile filter and quantile regression
González Ordiano, J. Á.; Gröll, L.; Mikut, R.; Hagenmeyer, V.
2020. International journal of forecasting, 36 (2), 310–323. doi:10.1016/j.ijforecast.2019.06.003

Comparison of PD-L1 expression between paired cytologic and histologic specimens from non-small cell lung cancer patients
Kuempers, C.; Linde, L. I. S. van der; Reischl, M.; Vogel, W.; Stellmacher, F.; Reck, M.; Heigener, D.; Rabe, K. F.; Kirfel, J.; Perner, S.; Welker, L.
2020. Virchows Archiv, 476, 261–271. doi:10.1007/s00428-019-02632-7

Toward economic NMPC for multistage AC optimal power flow
Faulwasser, T.; Engelmann, A.
2020. Optimal control, applications and methods, 41 (1), 107–127. doi:10.1002/oca.2487

Optimal Experiment Design for Parameter estimation in AC Power Systems
Yang, Y.; Du, X.; Engelmann, A.; Faulwasser, T.; Houska, B.
2019, Dezember 17. AG Analysis und Systemtheorie (2019), Ilmenau, Deutschland, 16.–17. Dezember 2019

Time delay in the swing equation: A variety of bifurcations
Scholl, T. H.; Gröll, L.; Hagenmeyer, V.
2019. Chaos, 29 (12), Article: 123118. doi:10.1063/1.5122784

Siloxane-functionalised surface patterns as templates for the ordered deposition of thin lamellar objects
Hoffmann, J.; Gamboa, S. M.; Hofmann, A.; Gliemann, H.; Welle, A.; Wacker, I.; Schröder, R. R.; Ness, L.; Hagenmeyer, V.; Gengenbach, U.
2019. Scientific reports, 9 (1), Article no: 17952. doi:10.1038/s41598-019-54507-1

The role of storage technologies throughout the decarbonisation of the sector-coupled European energy system
Victoria, M.; Zhu, K.; Brown, T.; Andresen, G. B.; Greiner, M.
2019. Energy conversion and management, 201, Article no: 111977. doi:10.1016/j.enconman.2019.111977

mTORC1 and PKB/Akt control the muscle response to denervation by regulating autophagy and HDAC4
Castets, P.; Rion, N.; Théodore, M.; Falcetta, D.; Lin, S.; Reischl, M.; Wild, F.; Guérard, L.; Eickhorst, C.; Brockhoff, M.; Guridi, M.; Ibebunjo, C.; Cruz, J.; Sinnreich, M.; Rudolf, R.; Glass, D. J.; Rüegg, M. A.
2019. Nature Communications, 10 (1), 3187. doi:10.1038/s41467-019-11227-4

Uncertainty Quantification for Optimal Power Flow Problems
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2019. Proceedings in applied mathematics and mechanics, 19 (1), Art.Nr. e201900087. doi:10.1002/Pamm.201900087

A new distributed co-simulation architecture for multi-physics based energy systems integration
Çakmak, H.; Erdmann, A.; Kyesswa, M.; Kühnapfel, U.; Hagenmeyer, V.
2019. Automatisierungstechnik, 67 (11), 972–983. doi:10.1515/auto-2019-0081

Flexibility From Energy Systems Integration: Supporting Synergies Among Sectors
Orths, A.; Anderson, C. L.; Brown, T.; Mulhern, J.; Pudjianto, D.; Ernst, B.; OMalley, M.; McCalley, J.; Strbac, G.
2019. IEEE power & energy magazine, 17 (6), 67–78. doi:10.1109/MPE.2019.2931054

Distributed Optimization with ALADAIN
Jiang, Y.; Engelmann, A.; Faulwasser, T.; Houska, B.
2019, Oktober 29. Systeme (2019), Magdeburg, Deutschland, 28.–29. Oktober 2019

Machine Learning Methods for Automated Quantification of Ventricular Dimensions
Schutera, M.; Just, S.; Gierten, J.; Mikut, R.; Reischl, M.; Pylatiuk, C.
2019, Oktober 29. Bosch AICON (AICON 2019), Renningen, Deutschland, 28.–29. Oktober 2019

3D Printing Technologies in KNMF
Mueller, T.; Elkaseer, A.; Scholz, S.
2019, Oktober 24. International Symposium on Thermal Effects in Gas Flows in Microscale (ISTEGIM 2019), Ettlingen, Deutschland, 24.–25. Oktober 2019

Simulation of FRET-Dyes Allows Direct Comparison Against Experimental Data
Reinartz, I.
2019, Oktober 23. Workshop: Protein Simulations - Current state of the art (2019), Tel Aviv, Israel, 22.–24. Oktober 2019

Feature Space Exploration for Motion Classification Based on Multi-Modal Sensor Data for Lower Limb Exoskeletons
Daab, T.; Patzer, I.; Mikut, R.; Asfour, T.
2019, Oktober 17. 19th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2019), Toronto, Kanada, 15.–17. Oktober 2019

Computersimulationen der molekularen Maschinerie des Lebens: Von der Proteinfaltung bis zur gezielten Therapie
Reinartz, I.
2019, Oktober 11. 2. Bunte Nacht der Ditgitalisierung (2019), Karlsruhe, Deutschland, 11. Oktober 2019

Structure Exploitation in Mixed-Integer Optimization of Energy Systems
Murray, A.
2019, Oktober 4. Scientific Colloquium at MPEI (2019), Moskau, Russland, 3.–5. Oktober 2019

Feature Space Exploration for Motion Classification Based on Multi-Modal Sensor Data for Lower Limb Exoskeletons
Daab, T.; Patzer, I.; Mikut, R.; Asfour, T.
2019. 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 636–643, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids43949.2019.9035014

A New Communication Concept for Efficient Configuration of Energy Systems Integration Co-Simulation
Erdmann, A.; Çakmak, H. K.; Kuhnapfel, U.; Hagenmeyer, V.
2019. 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 8 Seiten, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DS-RT47707.2019.8958665

Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 „Computational Intelligence
Mikut, R.; Kroll, A.; Hoffmann, F.
2019. Automatisierungstechnik, 67 (10), 817–819. doi:10.1515/auto-2019-0101

Fuzzy tissue detection for real-time focal control in corneal confocal microscopy = Fuzzy-Gewebeerkennung für Echtzeit-Fokusregelung in der Kornea-Konfokalmikroskopie
Bartschat, A.; Allgeier, S.; Scherr, T.; Stegmaier, J.; Bohn, S.; Reichert, K.-M.; Kuijper, A.; Reischl, M.; Stachs, O.; Köhler, B.; Mikut, R.
2019. Automatisierungstechnik, 67 (10), 879–888. doi:10.1515/auto-2019-0034

Automated design process for hybrid regression modeling with a one-class SVM = Ein automatisiertes Entwurfsverfahren für hybride Regressionsmodelle mit einer Ein-Klassen-Support-Vektor-Maschine
Böhland, M.; Doneit, W.; Gröll, L.; Mikut, R.; Reischl, M.
2019. Automatisierungstechnik, 67 (10), 843–852. doi:10.1515/auto-2019-0013

PolyChaos.jl - An open source Julia package for polynomial chaos expansion
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2019, September 11. Workshop on Frontiers of Uncertainty Quantification in Fluid Dynamics (FrontUQ 2019), Pisa, Italien, 11.–13. September 2019

Mechanism of toxicity of amorphous silica nanoparticles in lung epithelial cells and macrophages
Diabaté, S.; Fritsch-Decker, S.; Marquardt, C.; Leibe, R.; Weiss, C.
2019, September 9. 55th Congress of the European Societies of Toxicology (EUROTOX 2019), Helsinki, Finnland, 8.–11. September 2019

Building Energy Simulations at Urban Scale Based on Standardized Data Models Using a Transparent Enrichment Process
Geiger, A.; Benner, J.; Häfele, K.-H.; Hagenmeyer, V.
2019, September 3. 16th International Building Simulations Conference (IBPSA 2019), Rom, Italien, 2.–4. September 2019

Authentication of GOOSE Messages under Timing Constraints in IEC 61850 Substations
Elbez, G.; Keller, H. B.; Hagenmeyer, V.
2019. 6th International Symposium for ICS & SCADA Cyber Security Research 2019 (ICS-CSR), BCS Learning & Development. doi:10.14236/ewic/icscsr19.17

On Calendar-Based Scheduling for User-Friendly Charging of Plug-In Electric Vehicles
Schwenk, K.; Faix, M.; Mikut, R.; Hagenmeyer, V.; Appino, R. R.
2019. 2nd IEEE Connected and Automated Vehicles Symposium, CAVS 2019, Honolulu, United States, 22nd - 23rd September 2019, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CAVS.2019.8887782

A Comparison of Economic MPC Formulations for Thermal Building Control
Zwickel, P.; Engelmann, A.; Gröll, L.; Hagenmeyer, V.; Sauer, D.; Faulwasser, T.
2019. 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, RO, September 29 - October 2, 2019, Article no: 8905593, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEurope.2019.8905593

Volume reconstruction of the human cornea with oscillating focus scans
Kornelius, L.; Allgeier, S.; Bohn, S.; Reichert, K.-M.; Sperlich, K.; Stachs, O.; Köhler, B.
2019. Biomedical engineering, 64 (s2), S193. doi:10.1515/bmt-2019-6023

Dual-Objective NMPC: Considering Economic Costs near Manifolds
Van Duijkeren, N.; Faulwasser, T.; Pipeleers, G.
2019. IEEE transactions on automatic control, 64 (9), 3788–3795. doi:10.1109/TAC.2018.2886177

Microfluidic Chips for Life Sciences - A Comparison of Low Entry Manufacturing Technologies
Grösche, M.; Zoheir, A. E.; Stegmaier, J.; Mikut, R.; Mager, D.; Korvink, J. G.; Rabe, K. S.; Niemeyer, C. M.
2019. Small, 15 (35), 1901956. doi:10.1002/smll.201901956

Metric Learning for Cell Images Based on Deep Neural Networks
Löffler, K.
2019, Juli 19. Sitzung des VDI/VDE-GMA-Fachausschusses 1.10 (2019), Frankfurt am Main, Deutschland, 18.–19. Juli 2019

Safe by Design in3D printing
Nau, K.; Scholz, S.
2019, Juli 4. 6th International Conference on Sustainable Design and Manufacturing (SDM 2019), Budapest, Ungarn, 4.–5. Juli 2019

Towards proper building models
Sauer, D.; Gröll, L.; Hagenmeyer, V.
2019, Juli 4. 8. Jahrestagung des KIT-Zentrums Energie (2019), Karlsruhe, Deutschland, 4.–5. Juli 2019

Strategies for supplementing recurrent neural network training for spatio-temporal prediction = Strategien zur Unterstützung des Trainings von Rekurrenten Neuronalen Netzen zur räumlich-zeitlichen Vorhersage
Schutera, M.; Elser, S.; Abhau, J.; Mikut, R.; Reischl, M.
2019. Automatisierungstechnik, 67 (7), 545–556. doi:10.1515/auto-2018-0124

Robust phase unwrapping based on non-coprime fringe pattern periods for deflectometry measurements
Allgeier, S.; Gengenbach, U.; Köhler, B.; Reichert, K.-M.; Hagenmeyer, V.
2019. Automated Visual Inspection and Machine Vision III - SPIE Optical Metrology, 2019, Munich, Germany, 24-27 JUNE 2019. Ed.: J. Beyerer, F. Puente León, 1106103, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2523564

DaNa2.0 Knowledge Base - Quality-approved information on Safety of Nanomaterials for all
Marquardt, C.; Bohmer, N.; Krug, H. F.; Kuehnel, D.; Mattern, A.; Steinbach, C.; Nau, K.; Möller, N.
2019, Juni 12. EuroNanoForum (2019), Bukarest, Rumänien, 12.–14. Juni 2019

DaNa2.0 Knowledge Base- Quality-approved information on safety of nanomaterials
Marquardt, C.; Bohmer, N.; Krug, H. F.; Kuehnel, D.; Mattern, A.; Steinbach, C.; Nau, K.
2019, Juni 7. 16th International Conference on Nanosciences and Nanotechnologies (NN19 2019), Thessaloniki, Griechenland, 2.–5. Juli 2019

Determination of Feasible Power Variability Ranges in Active Distribution Networks with Uncertain Generation and Demand
Noto, G.; Hagenmeyer, V.; Appino, R. R.; Chicco, G.
2019. IEEE Milan PowerTech, Milan, Italy, 23-27 June 2019: proceedings, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810592

Photonic-integrated circuits with non-planar topologies realized by 3D-printed waveguide overpasses
Nesic, A.; Blaicher, M.; Hoose, T.; Hofmann, A.; Lauermann, M.; Kutuvantavida, Y.; Nöllenburg, M.; Randel, S.; Freude, W.; Koos, C.
2019. Optics express, 27 (12), 17402. doi:10.1364/OE.27.017402

Exploiting Unused Capacity in the Grid
Priebe, J.; Wehbring, N.; Chang, H.; Moser, A.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2019. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Chengdu, China, 21-24 May 2019, 451–456, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Asia.2019.8880909

Concept for a Permanent, Non-Invasive Blood Pressure Measurement in the Ear
Zeilfelder, J.; Diehl, M.; Pylatiuk, C.; Stork, W.
2019. Proceedings 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Chicago, IL, USA, 19-22 May 2019, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BHI.2019.8834671

War stories from teaching Rust and Embedded simultaneously
Scherer, O.
2019, April 27. Oxidize (2019), Berlin, Deutschland, 26.–29. April 2019

Implementierung eines Werkzeuges zur Interpretation von Versorgungsnetzen aus dem Programmsystem STANET
Riester, M.; Geiger, A.
2019, April 3. 24th International Conference on Urban Planning and Regional Development in the Information Society (REAL CORP 2019), Karlsruhe, Deutschland, 2.–4. April 2019

Decomposition and Parallelization of Mixed-Integer Optimization in Energy Systems
Murray, A.
2019, April. VIII Global Energy Prize Summit - Youth Talks (2019), Karlsruhe, Deutschland, 10. April 2019

The role of hydro power, storage and transmission in the decarbonization of the Chinese power system
Liu, H.; Brown, T.; Andresen, G. B.; Schlachtberger, D. P.; Greiner, M.
2019. Applied energy, 239, 1308–1321. doi:10.1016/j.apenergy.2019.02.009

Polynomial Chaos in Control - Truncation Errors and Numerical Computation
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2019, März 26. GAMM-Fachausschuss Dynamik und Regelungstheorie - Workshop (2019), Magdeburg, Deutschland, 25.–26. März 2019

Machine learning aided phase retrieval algorithm for beam splitting with an LCoS-SLM
Mikhaylov, D.; Zhou, B.; Kiedrowski, T.; Mikut, R.; Lasagni, A. F.
2019. Laser Resonators, Microresonators, and Beam Control XXI. Ed.: A.V. Kudryashov, 10 S., Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2508673

Large-scale grid integration of residential thermal energy storages as demand-side flexibility resource: A review of international field studies
Kohlhepp, P.; Harb, H.; Wolisz, H.; Waczowicz, S.; Müller, D.; Hagenmeyer, V.
2019. Renewable & sustainable energy reviews, 101, 527–547. doi:10.1016/j.rser.2018.09.045

Innovative Sensor System and Evaluation Procedure for Monitoring of Food Processing
Seifert, R.; Keller, H. B.; Kohler, H.
2019, Februar 28. 22nd Euro-Global Summit on Food and Beverages (2019), London, Vereinigtes Königreich, 28. Februar–1. März 2019. doi:10.4172/2157

Context-aware Visualization of Entity-Entity Relationships in a Document Corpus
Schmidt, A.; Kief, P.; Scholz, S.
2019, Januar 29. 30th Australasian Database Conference (ADC 2019), Sydney, Australien, 29. Januar–1. Februar 2019

Context-Aware Visualization of Entity-Entity Relationships in a Document Corpus
Schmidt, A.; Kief, P.; Scholz, S.
2019. Databases Theory and Applications : 30th Australasian Database Conference, ADC 2019, Sydney, AUS, January 29 – February 1, 2019, Proceedings. Ed.: L. Chang, 135–138, Springer. doi:10.1007/978-3-030-12079-5_10

Vision system-based inspection and alignment of laminated polymer films for 3D-Integration of microsystems
Elkaseer, A.; Salem, M.; Hagenmeyer, V.; Scholz, S.
2019. IFAC-PapersOnLine, 52 (15), 13–18. doi:10.1016/j.ifacol.2019.11.642

ANN-based modelling of dimensional accuracy in L-PBF
Charles, A. P.; Elkaseer, A.; Salem, M.; Thijs, L.; Scholz, S. G.
2019. Proceedings of the Joint Special Interest Group meeting between euspen and ASPE Advancing Precision in Additive Manufacturing (2019). Ed.: A. Bernard, Ecole Centrale de Nantes

Modeling and control of multimodal and hybrid energy systems (Editorial)
Wolter, M.; Hagenmeyer, V.
2019. Automatisierungstechnik, 67 (11), 891–892. doi:10.1515/auto-2019-0112

PyPSA-Eur: An Open Optimisation Model of the European Transmission System (v0.1.0, Dataset)
Hörsch, J.; Neumann, F.; Hofmann, F.; Schlachtberger, D.; Brown, T.
2019. doi:10.5281/zenodo.3601882

Python for Power System Analysis (PyPSA) Version 0.14.0
Brown, T.; Hörsch, J.; Schlachtberger, D.
2019. Zenodo. doi:10.5281/zenodo.2845242

Python for Power System Analysis (PyPSA) Version 0.15.0
Brown, T.; Hörsch, J.; Schlachtberger, D.; Neumann, F.; Neumann, D.
2019. Zenodo. doi:10.5281/zenodo.3532651

Spannungsfeld Innovation durch Digitalisierung und maschinelle Intelligenz vers Cyber Security
Keller, H. B.
2019. 1. Cluster-Regio-Point „Begegnen, bewegen, kreieren – Innovation gemeinsam meistern“ (2019), Rastatt, Deutschland, 17. Dezember 2019

6. HSN-Fachsymposium Innovative Sensorik, verteilte Sensorsysteme, neue Technologien und anwendungsfelder
Keller, H. B.; Seifert, R. (Hrsg.)
2019. Karlsruher Institut für Technologie (KIT)

Motion prediction enables simulated MR-imaging of freely moving model organisms
Reischl, M.; Jouda, M.; MacKinnon, N.; Fuhrer, E.; Bakhtina, N.; Bartschat, A.; Mikut, R.; Korvink, J. G.
2019. PLoS Computational Biology, 15 (12), e1006997. doi:10.1371/journal.pcbi.1006997

Entwicklung von Echtzeitsystemen – Einführung in die Entwicklung zuverlässiger softwarebasierter Funktionen unter Echtzeitbedingungen
Keller, H. B.
2019. Springer Fachmedien Wiesbaden. doi:10.1007/978-3-658-26641-7

Errata for “Comments on Truncation Errors for Polynomial Chaos Expansions”
Mühlpfordt, T.; Findeisen, R.; Hagenmeyer, V.; Faulwasser, T.
2019. IEEE Control Systems Letters, 1. doi:10.1109/LCSYS.2019.2960612

Feasibility vs. Optimality in Distributed AC OPF: A Case Study Considering ADMM and ALADIN
Engelmann, A.; Faulwasser, T.
2019. Advances in Energy System Optimization – Proceedings of the 2nd International Symposium on Energy System Optimization. Ed.: V. Bertsch, 3–12, Springer International Publishing. doi:10.1007/978-3-030-32157-4_1

A parallel decomposition cheme for solving long-horizon optimal control problems [in press]
Shin, S.; Faulwasser, T.; Zanon, M.; Zavala; V.M.
2019. 58th Conference on Decision and Control (CDC 2019), Nice, France, December 11th-13th 2019, Institute of Electrical and Electronics Engineers (IEEE)

Modeling and Force Control of a Terramechanical Wheel-Soil Contact for a Robotic Manipulator used in the Planetary Rover Design Process
Wachter, J.; Mikut, R.; Buse, F.
2019. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 560–565, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS40897.2019.8967900

Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments using Web and Microservice Technologies
Shahoud, S.; Gunnarsdottir, S.; Khalloof, H.; Düpmeier, C.; Hagenmeyer, V.
2019. 11th International Conference on Management of Digital EcoSystems, MEDES. doi:10.1145/3297662.3365807

Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach
Khalloof, H.; Ostheimer, P.; Jakob, W.; Shahoud, S.; Düpmeier, C.; Hagenmeyer, V.
2019. Intelligent Data Engineering and Automated Learning. Ed.: Hujun Yin, 386–393, Springer. doi:10.1007/978-3-030-33607-3_42

A distributed Modular Scalable and Generic Framework for Parallelizing Population Based Metaheuristics
Khalloof, H.; Ostheimer, P.; Jakob, W.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2019. 13th International Conference on Parallel Processing and Applied Mathematics (PPAM 2019), Bialystok, PL, September 8-11, 2019, Springer

Advanced Ceramic Breeder Pebble Production: Controlling the Pebble Size Distribution
Leys, O.; Waibel, P.; Matthes, J.; Knitter, R.
2019. Proceedings of the 20th International Workshop on Ceramic Breeder Blanket Interactions (CBBI-20) : September 18-20, 2019, KIT, Germany. Ed.: Regina Knitter, 13–19, Karlsruher Institut für Technologie (KIT)

Scheduling of energy storage using probabilistic forecasts and energy-based aggregated models. Dissertation
Appino, R. R.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000100684

Porting parameter estimation methods to MV & LV grids
Jumar, R.
2019. Doktorandenseminar der Helmholtz-Initiative Energie System 2050 (ES2050 2019), Oberursel, Deutschland, 4.–5. September 2019

Normbasierte Einzugsbereichsabschätzungen in Totzeitsystemen
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2019. Tagung des GMA-Fachausschusses 1.40 ’Systemtheorie und Regelungstechnik’ (2019), Anif, Österreich, 23.–25. September 2019

Energy Models
Hörsch, J.
2019

Power Quality in Smart Distribution Systems with Electric Battery, Large Loads and PV Generation
Munoz Ortiz, M.; Petersen, I.; Mikut, R.; Landsverk, H.; Simonsen, S. H.
2019. Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019). Ed.: C. Trimborn, 97–108

Synergy Pattern of Short Cationic Antimicrobial Peptides Against Multidrug-Resistant Pseudomonas aeruginosa
Ruden, S.; Rieder, A.; Chis Ster, I.; Schwartz, T.; Mikut, R.; Hilpert, K.
2019. Frontiers in microbiology, 10, Art. Nr.: 2740. doi:10.3389/fmicb.2019.02740

Digitale Bildverarbeitung und Tiefe Neuronale Netze in der Augenheilkunde – aktuelle Trends - Digital Image Processing and Deep Neural Networks in Ophthalmology – Current Trends
Bartschat, A.; Allgeier, S.; Bohn, S.; Scherr, T.; Blessing, D.; Reichert, K.-M.; Reischl, M.; Stachs, O.; Koehler, B.; Mikut, R.
2019. Klinische Monatsblätter für Augenheilkunde, 236 (12), 1399–1406. doi:10.1055/a-1008-9400

Optimal adaptive power flow linearizations: Expected error minimization using polynomial chaos expansion
Mühlpfordt, T.; Molzahn, D. K.; Hagenmeyer, V.; Misra, S.
2019. 13th IEEE PES Power Tech (2019), Mailand, Italien, 23.–27. Juni 2019

Applanation force monitoring during in vivo corneal confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Bartschat, A.; Stolu, H.; Guthoff, R. R.; Mikut, R.; Köhler, B.; Stacks, O.
2019. Der Ophthalmologe, 116 (Suppl.2), S139

Evaluation of Features for Change Detection in Unstructured Image Data
Münke, F. R.; Bartschat, A.; Chen, Y.; Mikut, R.; Reischl, M.
2019. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. Ed.: F. Hoffmann, E. Hüllermeier, R. Mikut, 1–23, KIT Scientific Publishing

Influence of Synthetic Label Image Object Properties on GAN Supported Segmentation Pipelines
Böhland, M.; Scherr, T.; Bartschat, A.; Mikut, R.; Reischl, M.
2019. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. Ed.: F. Hoffmann, E. Hüllermeier, R. Mikut, 289–309, KIT Scientific Publishing

Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility
Schwenk, K.; Harr, T.; Großmann, R.; Appino, R. R.; Hagenmeyer, V.; Mikut, R.
2019. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. Ed.: F. Hoffmann, E. Hüllermeier, R. Mikut, 73–93, KIT Scientific Publishing

Relative Gain Array and Singular Value Analysis to Improve the Control in a Biomass Pyrolysis Process
Hofmann, J.; Holz, H.-C.; Gröll, L.
2019. 2019 IEEE 15th International Conference on Control and Automation (ICCA 2019), Edinburgh, UK, July 16-19, 2019, 596–603, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCA.2019.8900025

Detection and Localization of Manipulated Smart Meters Using Super State Hidden Markov Models
Gabriel, R.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2019. 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Beijing, China, 21-23 Oct. 2019, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm.2019.8909702

Semantic CIM2Matpower: Ontology-Based Network Topology Processor and Converter for CIM Node-Breaker Models
Schumilin, A.; Cakmak, H. K.; Stucky, K.-U.; Duepmeier, C.; Hagenmeyer, V.
2019. Proceedings of the 7th International Conference on Smart Energy Grid Engineering (SEGE 2019), Ottawa, CDN, August 12-14, 2018, 31–36, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE.2019.8859820

ANN based prediction of dimensional error in down-facing surfaces for laser powder bed fusion parts
Charles, A. P.; Elkaseer, A.; Salem, M.; Thijs, L.; Scholz, S.
2019. ASPE and euspen Summer Topical Meeting Advancing Precision in Additive Manufacturing (2019), Nantes, Frankreich, 16.–18. September 2019

Total Cost of Ownership for different state of the art FDM Machines
Fauth, J.; Elkaseer, A.; Scholz, S. G.
2019. Sustainable Design and Manufacturing 2019 : Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19) - Budapest, Hungary, 4 - 5 July 2019. Ed.: P. Ball, 351–361, Springer

Analyzing the Enron Corpus with the Shell
Schmidt, A.
2019

Automated Extraction of Domain-Specific Information from Scientific Publications
Kief, P.; Marquardt, C.; Nau, K.; Scholz, S.; Schmidt, A.
2019. 8th International Conference on Data Analytics, Porto, P, September 22-26, 2019

Automated Extraction of Domain-Specific Information from Scientific Publications
Kief, P.; Marquardt, C.; Nau, K.; Scholz, S.; Schmidt, A.
2019. 8th International Conference on Data Analytics (Data Analytics 2019), Porto, Portugal, 22.–26. September 2019

Transportmodelle für Flüssigkeitsfilme
Hofmann, J.; Ponomarev, A.; Gröll, L.
2019. VDI/VDE GMA-Fachausschuss 1.30 „Modellbildung, Identifikation und Simulation in der Automatisierungstechnik“. Tagung (2019), Anif, Österreich, 25.–27. September 2019

Parameter identification of thermal building models
Sauer; Dominique; Hagenmeyer, V.; Gröll, L.
2019. Doktorandenseminar der Helmholtz-Initiative Energie System 2050 (ES2050 2019), Oberursel, Deutschland, 4.–5. September 2019

Tailored Chip Breaker Development for Polycrystalline Diamond Inserts: FEM-based Design and Validation
Cascón, I.; Sarasua, J. A.; Elkaseer, A.
2019. Applied Sciences, 9 (19), 4117. doi:10.3390/app9194117

Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification
Schutera, M.; Hafner, F. M.; Vogt, H.; Abhau, J.; Reischl, M.
2019. International Workshop on Traffic and Street Surveillance for Safety and Security: in conjuction with IEEE AVSS 2019, September 21th, Taipei, Taiwan, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/AVSS.2019.8909858

Diagnosespektrum somatischer Komorbiditäten und psychische Belastung bei unterschiedlichen AVEM Mustern in der Psychosomatischen Rehabilitation
Wittmann, C.; Reischl, M.; Käfer, M.; Köllner, V.
2019. Deutscher Kongress für Psychosomatische Medizin und Psychotherapie, Berlin, 20.-22.03.2019. doi:10.13140/RG.2.2.34331.31521

Image based analysis of multi-fuel burners in industrial combustion processes
Vogelbacher, M.; Waibel, P.; Matthes, J.; Hyer, M.; Keller, H. B.
2019. Cement, lime, gypsum, 72 (7-8), 56–61

Towards Classification of Technical Sound Events with Deep Learning Models
Rieder, C.; German, M.; Scherer, K.-P.
2019. Wissensmanagement in digitalen Arbeitswelten – Aktuelle Ansätze und Perspektiven (Knowledge Management in Digital Work - Environments State-of-the-Art and Outlook) - Proceedings, 10. Konferenz Professionelles Wissensmanagement, 18. - 20.03.2019, Potsdam, Germany. Ed.: P. Heisig, 297–302, FHP Verlag

Application of image-based process parameters for analyzing multi-fuel burners
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2019. 9th European Combustion Meeting (ECM 2019), Lisboa, P, April 14-17, 2019

Application of image-based process parameters for analyzing multi-fuel burners
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2019. 9th European Combustion Meeting (ECM 2019), Lissabon, Portugal, 14.–17. April 2019

Heuristics for Transmission Expansion Planning in Low-Carbon Energy System Models
Neumann, F.; Brown, T.
2019. 16th International Conference on the European Energy Market (EEM 19), 18 - 20 September 2019, Ljubljana, Slovenia, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM.2019.8916411

Bildbasierte Analyse von Mehrstoffbrennern bei industriellen Verbrennungsprozessen
Vogelbacher, M.; Waibel, P.; Matthes, J.; Hoyer, M.; Keller, H. B.
2019. Prozesswärme

Image-based analysis of flames in industrial afterburner chambers using geometric constraints
Waibel, P.; Matthes, J.; Vogelbacher, M.; Gröll, L.; Keller, H. B.
2019. 9th European Combustion Meeting : (ECM 2019), 14-17 April 2019, Lisboa, Portugal

A new camera-based flame stability measure for non-oscillating and oscillating combustion [in press]
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2019. 9th European Combustion Meeting : (ECM 2019), 14-17 April 2019, Lisboa, Portugal

Image-based analysis of flames in industrial afterburner chambers using geometric constraints
Waibel, P.; Matthes, J.; Vogelbacher, M.; Gröll, L.; Keller, H. B.
2019. 9th European Combustion Meeting (ECM 2019), Lissabon, Portugal, 14.–17. April 2019

Vision system-based inspection and alignment of laminated polymer films for 3D-integration of microsystems
Elkaseer, A.; Salem, M.; Hagenmeyer, V.; Scholz, S.
2019. 8th / 11th IFAC Symposium on Mechatronic Systems and IFAC Symposium on Nonlinear Control Systems (MECHATRONICS / NOLCOS 2019), Wien, Österreich, 4.–6. September 2019

Towards Classification of Technical Sound Events with Deep Learning Models
Rieder, C.; Germann, M.; Scherer, K.-P.
2019. 10. Konferenz Professionelles Wissensmanagement - Workshop: Data-Driven Knowledge Management – DDKM (WM 2019), Potsdam, Deutschland, 18.–20. März 2019

A new camera-based flame stability measure for non-oscillating and oscillating combustion
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2019. 9th European Combustion Meeting (ECM 2019), Lissabon, Portugal, 14.–17. April 2019

A new camera-based method for measuring the flame stability of non-oscillating and oscillating combustions
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2019. 9th European Combustion Meeting : (ECM 2019), 14-17 April 2019, Lisboa, Portugal

Applanation force monitoring during in vivo corneal confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Bartschat, A.; Stolu, H.; Guthoff, R. R.; Mikut, R.; Köhler, B.; Stacks, O.
2019. 117. Deutsche Ophthalmologische Gesellschaft e.V.: Kongress (DOG-Kongress 2019), Berlin, Deutschland, 26.–29. September 2019

A hybrid analysis approach for transient stability assessment in power systems
Kyesswa, M.; Cakmak, H. K.; Gröll, L.; Kuhnapfel, U.; Hagenmeyer, V.
2019. 2019 IEEE Milan PowerTech, 23-27 June 2019, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810745

Optimal adaptive power flow linearizations: Expected error minimization using polynomial chaos expansion
Mühlpfordt, T.; Hagenmeyer, V.; Molzahn, D. K.; Misra, S.
2019. 2019 IEEE Milan PowerTech, 23-27 June 2019, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810681

A method for sizing centralised energy storage systems using standard patterns
Karrari, S.; Ludwig, N.; Hagenmeyer, V.; Noe, M.
2019. 2019 IEEE Milan PowerTech, 23-27 June 2019, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810658

Towards distributed OPF using ALADIN
Engelmann, A.; Jiang, Y.; Mühlpfordt, T.; Houska, B.; Faulwasser, T.
2019. 13th IEEE PES Power Tech (2019), Mailand, Italien, 23.–27. Juni 2019

Decomposition-based methods for optimization of time-dependent problems
Engelmann, A.; Faulwasser, T.
2019. 6th International conference on Continuous Optimization (ICCOPT 2019), Berlin, 5.-8. August 2019

Distributed Non-Convex Optimization in Power Systems
Engelmann, A.; Mühlpfordt, T.; Jian, Y.; Houska, B.; Faulwasser, T.
2019. 2nd International Conference on "Future Electric Power Systems and the Energy Transition (FEPSET 2019), Champery, Switzerland, 3.–8. Februar 2019

Avoiding Thermal-Stress-Induced Failures by Design Optimization when Brazing Perlucor® to Inconel® 718 Components
Spatafora, L.; Isele, J.; Ritzhaupt-Kleissl, H.-J.; Hagenmeyer, V.; Aktaa, J.
2019. Journal of ceramic science and technology, 10 (2), 1–10. doi:10.4416/JCST2019-00011

Automated fabrication of multi-layer printed electronic circuits using a novel vector ink-jet printing process control and surface mounting of discrete components [in press]
Gengenbach, U.; Ungerer, M.; Koker, L.; Reichert, K.-M.; Stiller, P.; Huang, C.; Hagenmeyer, V.
2019. Joint Conference - 8th IFAC Symposium on Mechatronic Systems - 11th Symposium on Nonlinear Control Systems, September 4-6, 2019, Vienna, Austria

Building Energy Simulations at Urban Scale Based on Standardised Data Models [in press]
Geiger, A.; Benner, J.; Häfele, K.-H.; Hagenmeyer, V.
2019. Proceedings of Building Simulation 2019: 16th Conference of IBPSA. Ed.: V. Corrado, International Building Performance Simulation Association (IBPSA)

Einsatz von VR-Technologien in BIM/GIS
Schürstedt, S.; Geiger, A.
2019. 31. Forum Bauinformatik : 11.–13. September 2019 in Berlin. Proceedings. Hrsg.: M. Sternal, 283–290, Universitätsverlag der TU Berlin

Einsatz von VR-Technologien in BIM/GIS
Schürstedt, S.; Geiger, A.
2019. 31. Forum Bauinformatik (2019), Berlin, Deutschland, 11.–13. September 2019

BioSAXS Measurements Reveal That Two Antimicrobial Peptides Induce Similar Molecular Changes in Gram-Negative and Gram-Positive Bacteria
Gundlach, A. von; Ashby, M. P.; Gani, J.; Lopez-Perez, P. M.; Cookson, A. R.; Ann Huws, S.; Rumancev, C.; Garamus, V. M.; Mikut, R.; Rosenhahn, A.; Hilpert, K.
2019. Frontiers in pharmacology, 10, Art. Nr.: 1127. doi:10.3389/fphar.2019.01127

Ein Microservice für die Abstraktion von Suchmaschinen
Schlachter, T.; Schmitt, C.; Wagner, H.
2019. EuroInfo - environmental informatics : computational sustainability: ICT methods to achieve the UN sustainable development goals : adjunct proceedings of the 33rd edition of the EnviroInfo - the long standing and established international and interdisciplinary conference series on leading environmental information and communication technologies : Kassel, September 23-26, 2019. Hrsg.: R. Schaldach, 143–150, Shaker Verlag

Prediction of Dimensional Error in Down-Facing Surfaces for Laser Powder Bed Fusion Parts [in press]
Charles, A. P.; Elkaseer, A.; Hagenmeyer, V.; Scholz, S.
2019. 3RD World Congress on Micro and Nano Manufacturing, Raleigh WCMNM 2019, North Carolina, USA, 10th - 12th September

FDM Process Optimisation for Low Surface Roughness and Energy Consumption
Elkaseer, A.; Schneider, S.; Scholz, S.
2019. 3RD World Congress on Micro and Nano Manufacturing, Raleigh WCMNM 2019, North Carolina, USA, 10th - 12th September

ANN-based modelling of dimensional accuracy in L-PBF
Charles, A. P.; Elkaseer, A.; Salem, M.
2019. Conference Proceedings - Special Interest Group : Advancing Precision in Additive Manufacturing 2019, 16th - 18th September 2019, Nantes, France, European Society for Precision Engineering and Nanotechnology (euspen)

Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019
Hoffmann, F.; Hüllermeier, E.; Mikut, R. (Hrsg.)
2019. KIT Scientific Publishing. doi:10.5445/KSP/1000098736

Potential and Challenges of Inkjet-Printing for Wearable Medical Devices [in press]
Koker, L.; Mansour, M.; Ungerer, M.; Reichert, K.-M.; Stiller, P.; Gegenbach, U.
2019. BMT 2019 : 53th Annual Conference of the German Society for Biomedical Engineering : 25. - 26. September 2019, Frankfurt am Main. Ed.: J. Haueisen

Machine Learning Methods for Automated Quantification of Ventricular Dimensions
Schutera, M.; Just, S.; Gierten, J.; Mikut, R.; Reischl, M.; Pylatiuk, C.
2019. Zebrafish, 16 (6), 542–545. doi:10.1089/zeb.2019.1754

Design of aspheric rotation optics
Sieber, I.
2019. Frontiers in Optics + Laser Science APS/DLS, Washington, DC, September 13-17, 2019, FM4C.3, Optica Publishing Group (OSA). doi:10.1364/FIO.2019.FM4C.3

Synchronized continuous high-rate time-series recording in distribution grids for accurate evaluation
Jumar, R.; Maaß, H.; Kühnapfel, U.; Hagenmeyer, V.
2019. 2019 International Conference on Smart Grid Synchronized Measurements and Analytics, SGSMA 2019; Texas A and M UniversityCollege Station; United States; 20 May 2019 through 23 May 2019, Art.-Nr.: 8784664, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SGSMA.2019.8784664

FEM-based study of precision hard turning of stainless steel 316L
Elkaseer, A.; Abdelaziz, A.; Saber, M.; Nassef, A.
2019. Materials, 12 (16), Art.-Nr.: 2522. doi:10.3390/ma12162522

Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization
Chaussonnet, G.; Lieber, C.; Yikang, Y.; Gu, W.; Bartschat, A.; Reischl, M.; Koch, R.; Mikut, R.; Bauer, H.-J.
2019. doi:10.5445/IR/1000097897/v3

Neues Konzept zur skalierbaren, explorativen Analyse großer Zeitreihendaten mit Anwendung auf umfangreiche Stromnetz-Messdaten. Dissertation
Bach, F.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000097843

A Study on the Modeling and Simulation of Bio-inspired Hedgehog Spines Structures for More Efficient Use Digital Manufacturing Processes
O’Sullivan, R.; Rees, A.; Griffiths, C. A.; Wadlinger, J.
2019. Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19), Budapest, Ungarn, 4 - 5 Juli 2019. Ed.: P. Ball, 375–385, Springer. doi:10.1007/978-981-13-9271-9_31

Industrial demand-side flexibility: A benchmark data set
Ludwig, N.; Barth, L.; Wagner, D.; Hagenmeyer, V.
2019. Proceedings of the Tenth ACM International Conference on Future Energy Systems - e-Energy ’19, Phoenix, AZ, USA, June 25 - 28, 2019, 460–473, Association for Computing Machinery (ACM). doi:10.1145/3307772.3331021

Augmented reality-assisted ventricular puncture with marker-based scene registration
Kunz, C.; Schneider, M.; Hlavac, M.; Zenth, D.; Pylatiuk, C.; Hein, B.
2019. International journal of computer assisted radiology and surgery, 14 (Suppl. 1), S151-S152

Internet of Things Solution for Non-invasive Vital Data Acquisition: A Step Towards Smart Healthcare System
Salem, M.; El-Maddah, I.; Youssef, K.; Mohamed, H.
2019. Sustainable Design and Manufacturing 2019 : Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19). Ed.: P. Ball, 387–397, Springer Nature. doi:10.1007/978-981-13-9271-9_32

Towards Distributed Mixed Integer optimization in Energy Systems
Murray, A.; Hagenmeyer, V.; Faulwasser, T.
2019. 2nd International Conference on "Future Electric Power Systems and the Energy Transition (FEPSET 2019), Champery, Switzerland, 3.–8. Februar 2019

buildingSMART Software Zertifizierung
Geiger, A.; Haefele, K.-H.
2019. Ernst & Sohn Special - Bauprodukte digital, April 2019 (April), 21–25

Toward a Unifying Framework Blending Real-Time Optimization and Economic Model Predictive Control
Faulwasser, T.; Pannocchia, G.
2019. Industrial & engineering chemistry research, 58 (30), 13583–13598. doi:10.1021/acs.iecr.9b00782

Benchmarking in classification and regression
Hoffmann, F.; Bertram, T.; Mikut, R.; Reischl, M.; Nelles, O.
2019. Wiley interdisciplinary reviews / Data mining and knowledge discovery, 9 (5), e1318. doi:10.1002/widm.1318

A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs
Liu, H.; Andresen, G. B.; Brown, T.; Greiner, M.
2019. MethodsX, 6, 1370–1378. doi:10.1016/j.mex.2019.05.024

On the Assessment of Thermo-mechanical Degradability of Multi-recycled ABS Polymer for 3D Printing Applications
Charles, A. P.; Bassan, P. M.; Mueller, T.; Elkaseer, A.; Scholz, S. G.
2019. Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19), Budapest, Ungarn, 4 - 5 Juli 2019. Ed.: P. Ball, 363–373, Springer. doi:10.1007/978-981-13-9271-9_30

Safe by Design in 3D printing
Nau, K.; Scholz, S. G.
2019. Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19), Budapest, Ungarn, 4 - 5 Juli 2019. Ed.: P. Ball, 341–350, Springer. doi:10.1007/978-981-13-9271-9_28

Total Cost of Ownership for Different State of the Art FDM Machines (3D Printers)
Fauth, J.; Elkaseer, A.; Scholz, S. G.
2019. Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19), Budapest, Ungarn, 4 - 5 Juli 2019. Ed.: P. Ball, 351–361, Springer. doi:10.1007/978-981-13-9271-9_29

Improving Root Cause Analysis by Detecting and Removing Transient Changes in Oscillatory Time Series with Application to a 1,3-Butadiene Process
Zhou, B.; Chioua, M.; Bauer, M.; Schlake, J. C.; Thornhill, N. F.
2019. Industrial & engineering chemistry research, 58 (26), 11234–11250. doi:10.1021/acs.iecr.8b06138

Assessment of a scheduling strategy for dispatching prosumption of an industrial campus
Remo Appino, R.; Ángel González Ordiano, J.; Munze, N.; Mikut, R.; Faulwasser, T.; Hagenmeyer, V.
2019. Internationaler ETG-Kongress 2019 : das Gesamtsystem im Fokus der Energiewende, 8. – 9. Mai 2019, Neckar Forum, Esslingen am Neckar. Hrsg.: C. Rehtanz, 289–294, VDE Verlag

Chance-constrained AC optimal power flow - A polynomial chaos approach
Mühlpfordt, T.; Roald, L.; Hagenmeyer, V.; Faulwasser, T.; Misra, S.
2019. IEEE transactions on power systems, 34 (6), 4806–4816. doi:10.1109/TPWRS.2019.2918363

Design-for-manufacture of high-resolution 3D printed rotation optics
Sieber, I.; Moser, D.; Gengenbach, U.
2019. Optical Fabrication and Testing 2019. Design and Fabrication Congress 2019, Washington, DC, June 10-12, 2019, JW3A.2, Optica Publishing Group (OSA). doi:10.1364/FREEFORM.2019.JW3A.2

Enforcing optimal operation in solid-oxide fuel-cell systems
Avila Ferreira, T. de; Wuillemin, Z.; Faulwasser, T.; Salzmann, C.; Van herle, J.; Bonvin, D.
2019. Energy, 181, 281–293. doi:10.1016/j.energy.2019.04.188

Powerful data analysis and composition with the UNIX-shell
Schmidt, A.; Scholz, S.
2019. Web Engineering: 19th International Conference on Web Engineering, ICWE 2019; Daejeon; South Korea; 11 June 2019 through 14 June 2019. Ed.: M. Bakaev, 582–585, Springer Nature. doi:10.1007/978-3-030-19274-7_49

Feedback, dynamics, and optimal control in climate economics
Kellett, C. M.; Weller, S. R.; Faulwasser, T.; Grüne, L.; Semmler, W.
2019. Annual reviews in control, 47, 7–20. doi:10.1016/j.arcontrol.2019.04.003

Open Source 3-Phase Function Generator for Smart Grid Experiments and Monitoring Device Testing
Jumar, R.; Erdmann, A.; Maaß, H.; Kühnapfel, U.; Hagenmeyer, V.
2019. 2nd International Colloquium on Smart Grid Metrology (SMAGRIMET), Split, Croatia, 9-12 April 2019, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/SMAGRIMET.2019.8720387

High accuracy beam splitting using spatial light modulator combined with machine learning algorithms
Mikhaylov, D.; Zhou, B.; Kiedrowski, T.; Mikut, R.; Lasagni, A.-F.
2019. Optics and lasers in engineering, 121, 227–235. doi:10.1016/j.optlaseng.2019.04.010

Theoretische und Experimentelle Kältemittel- und Dichtungsauswahl und Komponentenentwicklung zur Langzeitkühlung von Elektronik in Untertagewerkzeugen. Dissertation
Holbein, B.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000094597

The need for a statutory base to establish modern safety directives
Pilz, W.-D.; Schulz-Forberg, B.; Keller, H.; Langenbach, C.
2019. Technische Sicherheit, (3), 21–28

Smart Energy Grid der Zukunft - Securityprobleme und Lösungsansätze
Keller, H. B.
2019. FORUM46 – Interdisziplinäres Forum für Europa e. V

A new camera-based method for measuring the flame stability of non-oscillating and oscillating combustions
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2019. Experimental thermal and fluid science, 105, 27–34. doi:10.1016/j.expthermflusci.2019.03.008

Benchmark Dataset for "Industrial Demand-Side Flexibility: A Benchmark Data Set"
Ludwig, N.; Barth, L.; Wagner, D.; Hagenmeyer, V.
2019. doi:10.5445/IR/1000094324

DIY Automated Feeding and Motion Recording System for the Analysis of Fish behaviour
Pylatiuk, C.; Zhao, H.; Gursky, E.; Reischl, M.; Peravali, R.; Foulkes, N.; Loosli, F.
2019. SLAS technology, 24 (4), 394–398. doi:10.1177/2472630319841412

Progression and Evaluation of a Camera-Based Measurement System for Multifuel Burners under Industrial Process Conditions
Vogelbacher, M.; Matthes, J.; Keller, H.; Waibel, P.
2019. IEEE transactions on industrial informatics, 15 (10), 5466–5474. doi:10.1109/TII.2019.2899946

Quanfima: An open source Python package for automated fiber analysis of biomaterials
Shkarin, R.; Shkarin, A.; Shkarina, S.; Cecilia, A.; Surmenev, R. A.; Surmeneva, M. A.; Weinhardt, V.; Baumbach, T.; Mikut, R.
2019. PLOS ONE, 14 (4), e0215137. doi:10.1371/journal.pone.0215137

Advanced Ceramic Breeder Pebble Production: Controlling the Pebble size Distribution
Leys, O.; Waibel, P.; Matthes, J.; Knitter, R.
2019. 20th International Workshop on Ceramic Breeder Blanket Interactions (CBBI-20 2019), Karlsruhe, Deutschland, 18.–20. September 2019

Automated Classification of Fertilized Zebrafish Embryos
Neukum, A.; Bartschat, A.; Breitwieser, H.; Strähle, U.; Dickmeis, T.; Pylatiuk, C.
2019. Zebrafish, 16 (3), 326–328. doi:10.1089/zeb.2019.1728

Ruminal antimicrobial peptides as promising molecules to treat pathogenic bacteria, including resistant strains
Oyama, L. B.; Olleik, H.; Nery Teixeira, A. C.; Guidini, M. M.; Maresca, M.; Bazzolli, D.; Cookson, A. C.; Fuentes, N. F.; Vallin, H.; Pickup, J.; Mikut, R.; Hilpert, K.; Richards, J.; Wootton, M.; Edwards, J. E.; Perrier, J.; Hess, M.; Mantovani, H. C.; Creevey, C. J.; Huws, S. A.
2019. Gordon Research Conference - Antimicrobial Peptides: Mechanisms and Application: Realizing the Potential of Antimicrobial Host Defense Peptides for Human and Veterinary Medicine (GRC 2019), Lucca, Italien, 24. Februar–1. März 2019

Principal flow paterns across renewable electricity networks
Schäfer, M.; Hofmann, F.; Kruse, J.; Brown, T.; Hörsch, J.; Schramm, S.; Greiner, M.
2019. DPG-Frühjahrstagung der Sektion Kondensierte Materie (SKM), Fachverband Physik sozio-ökonomischer Systeme (2019), Regensburg, Deutschland, 31. März–5. April 2019

Implementierung eines Werkzeuges zur Interpretation von Versorgungsnetzen aus dem Programmsystem STANET
Riester, M.; Geiger, A.
2019. REAL CORP 2019. Ed.: M. Schrenk, Karlsruher Institut für Technologie (KIT)

In silico identification of novel peptides with antibacterial activity against multidrug resistant Staphylococcus aureus
Oyama, L. B.; Olleik, H.; Nery Teixeira, A. C.; Guidini, M. M.; Pickup, J. A.; Cookson, A. R.; Vallin, H.; Wilkinson, T.; Bazzolli, D.; Richards, J.; Wootton, M.; Mikut, R.; Hilpert, K.; Maresca, M.; Perrier, J.; Hess, M.; Mantovani, H. C.; Fernandez-Fuentes, N.; Creevey, C. J.; Huws, S. A.
2019. bioRxiv beta, 42 S. doi:10.1101/577221

Digital technologies in airport ground operations
Kovynyov, I.; Mikut, R.
2019. Netnomics, 20 (1), 1–30. doi:10.1007/s11066-019-09132-5

Data mining tools
Bartschat, A.; Reischl, M.; Mikut, R.
2019. Wiley interdisciplinary reviews / Data mining and knowledge discovery, 9 (4), Article: e1309. doi:10.1002/widm.1309

The HMG box transcription factors Sox1a and Sox1b specify a new class of glycinergic interneuron in the spinal cord of zebrafish embryos
Gerber, V.; Yang, L.; Takamiya, M.; Ribes, V.; Gourain, V.; Peravali, R.; Stegmaier, J.; Mikut, R.; Reischl, M.; Ferg, M.; Rastegar, S.; Strähle, U.
2019. Development <Cambridge>, 146 (4), dev172510. doi:10.1242/dev.172510

Self-Flushing in EDM Drilling of Ti6Al4V Using Rotating Shaped Electrodes
Goiogana, M.; Elkaseer, A.
2019. Materials, 12 (6), Article: 989. doi:10.3390/ma12060989

Effect of Process Parameters on the Generated Surface Roughness of Down-Facing Surfaces in Selective Laser Melting
Charles, A. P.; Elkaseer, A.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2019. Applied Sciences, 9 (6), Article: 1256. doi:10.3390/app9061256

New Data-Driven Probabilistic Forecasting Methods with Applications in Energy Systems. Dissertation
González Ordiano, J. Á.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000092701

Advanced Electric Discharge Machining of Stainless Steels: Assessment of the State of the Art, Gaps and Future Prospect
Abu Qudeiri, J.; Saleh, A.; Ziout, A.; Mourad, A.-H.; Abidi, M.; Elkaseer, A.
2019. Materials, 12 (6), 907. doi:10.3390/ma12060907

Sectoral Interactions as Carbon Dioxide Emissions Approach Zero in a Highly-Renewable European Energy System
Brown, T.; Schäfer, M.; Greiner, M.
2019. Energies, 12 (6), 1032/1–16. doi:10.3390/en12061032

lnduced Jet Break-Up Fabrication of Advanced Ceramic Breeder Pebbles
Leys, O.; Waibel, P.; Matthes, J.; Knitter, R.
2019. 14th International Symposium on Fusion Nuclear Technology (ISFNT 2019), Budapest, Ungarn, 22.–27. September 2019

A Novel Optical Tissue Clearing Protocol for Mouse Skeletal Muscle to Visualize Endplates in Their Tissue Context
Williams, M. P. I.; Rigon, M.; Straka, T.; Hörner, S. J.; Thiel, M.; Gretz, N.; Hafner, M.; Reischl, M.; Rudolf, R.
2019. Frontiers in cellular neuroscience, 13, Article No.49. doi:10.3389/fncel.2019.00049

Architectural Concept and Evaluation of a Framework for the Efficient Automation of Computational Scientific Workflows: An Energy Systems Analysis Example
Liu, J.; Braun, E.; Düpmeier, C.; Kuckertz, P.; Ryberg, D.; Robinius, M.; Stolten, D.; Hagenmeyer, V.
2019. Applied Sciences, 9 (4), Article no: 728. doi:10.3390/app9040728

Advances in near net shape polymer manufacturing through microcellular injection moulding
Llewelyn, G.; Rees, A.; Griffiths, C. A.; Scholz, S. G.
2019. Near net shape manufacturing processes. Ed.: K. Gupta, 177–189, Springer International Publishing. doi:10.1007/978-3-030-10579-2_8

Modellbasiertes IT-Sicherheitssystem für vernetzte Komponenten zukünftiger Energiesysteme
Reibelt, K.; Elbez, G.; Scherer, O.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2019. 83. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen (SAMOP), Arbeitskreis Energie (2019), Rostock, Deutschland, 10.–15. März 2019

Decarbonization of the European energy system with strong sector couplings
Zhu, K.; Victoria, M.; Brown, T.; Andresen, G. B.
2019. 83. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen (SAMOP), Arbeitskreis Energie (2019), Rostock, Deutschland, 10.–15. März 2019

Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective
Matschek, J.; Bäthge, T.; Faulwasser, T.; Findeisen, R.
2019. Handbook of Model Predictive Control. Ed.: S. Raković, 169–198, Springer International Publishing. doi:10.1007/978-3-319-77489-3_8

Breakthrough in permanent cooling of instrumentation electronics - Results of systematic experimental & Analytical refrigerant selection, dynamic seals evaluation and robust engine design
Holbein, B.
2019. Geothermal Resources Council 2018 Annual Meeting: Geothermal’s Role in Today’s Energy Market, GRC 2018; Peppermill Resort Spa CasinoReno; United States; 14 October 2018 through 17 October 2018, 1948–1960, Geothermal Resources Council

Comprehensive characterization and material modeling for ceramic injection molding simulation performance validations
Tosello, G.; Marhöfer, D. M.; Islam, A.; Müller, T.; Plewa, K.; Piotter, V.
2019. The international journal of advanced manufacturing technology, 102 (1-4), 225–240. doi:10.1007/s00170-018-03251-3

Definition von Flexibilität in einem zellulär geprägten Energiesystem
Lehmann, N.; Kraft, E.; Duepmeier, C.; Mauser, I.; Förderer, K.; Sauer, D.
2019. Zukünftige Stromnetze 2019 : 30./31. Januar 2019 in Berlin, 459–469, Conexio

Chancen der Digitalisierung für die Energiewende
Waczowicz, S.; Müller-Langer, F.; Kröner, M.; Steubing, M.; Fischedick, M.; Weigel, P.; Hagenmeyer, V.
2019. GWF / Gas+Energie, (1), 60–64

Counter-intuitive behaviour of energy system models under CO₂ caps and prices
Weber, J.; Heinrichs, H. U.; Gillessen, B.; Schumann, D.; Hörsch, J.; Brown, T.; Witthaut, D.
2019. Energy, 170, 22–30. doi:10.1016/j.energy.2018.12.052

Impact of CO2 prices on the design of a highly decarbonised coupled electricity and heating system in Europe
Zhu, K.; Victoria, M.; Brown, T.; Andresen, G. B.; Greiner, M.
2019. Applied energy, 236, 622–634. doi:10.1016/j.apenergy.2018.12.016

Laser Ablation of Cobalt-Bound Tungsten Carbide and Aluminium Oxide Ceramic: Experimental Investigation with ANN Modelling and GA Optimisation
Elkaseer, A.; Lambarri, J.; Quintana, I.; Scholz, S.
2019. Sustainable Design and Manufacturing 2018 – Proceedings of the 5th International Conference on Sustainable Design and Manufacturing (KES-SDM-18). Ed.: D. Dao, 21–30, Springer International Publishing. doi:10.1007/978-3-030-04290-5_3

Performing energy modelling exercises in a transparent way - The issue of data quality in power plant databases
Gotzens, F.; Heinrichs, H.; Hörsch, J.; Hofmann, F.
2019. Energy strategy reviews, 23, 1–12. doi:10.1016/j.esr.2018.11.004

Ein neues Konzept für die geberlose Regelung von Permanentmagnet-Synchronmaschinen für Hybrid- und Elektrofahrzeuge. Dissertation
Paulus, S.
2019. KIT Scientific Publishing. doi:10.5445/KSP/1000087356

Towards Distributed OPF using ALADIN
Engelmann, A.; Jiang, Y.; Muhlpfordt, T.; Houska, B.; Faulwasser, T.
2019. IEEE transactions on power systems, 34 (1), 584–594. doi:10.1109/TPWRS.2018.2867682

Modelling and experimental validation of surface roughness in precision turning of dual-phase materials considering process uncertainties
Elsanabary, S.; Elkaseer, A.; Abd-Rabbo, S.; AbdElsalam, M.; Abdou, S.
2019. International journal on interactive design and manufacturing, 13 (1), 59–74. doi:10.1007/s12008-018-0490-8

Industrial internet of things solution for real-time monitoring of the additive manufacturing process
Salama, M.; Elkaseer, A.; Saied, M.; Ali, H.; Scholz, S.
2019. Advances in Intelligent Systems and Computing, 852, 355–365. doi:10.1007/978-3-319-99981-4_33

Celitement quality parameter determination by online NIR-spectroscopy
Lutz, C.; Matthes, J.; Waibel, P.; Precht, U.; Beuchle, G.; Garbev, K.; Schweike, U.; Stemmermann, P.; Keller, H. B.
2019. Advances in cement research, 31 (2), 80–91. doi:10.1680/jadcr.17.00016

Design studies of varifocal rotation optics
Sieber, I.; Stiller, P.; Gengenbach, U.
2018. Optical engineering, 57 (12), 125102/1–7. doi:10.1117/1.OE.57.12.125102

Author Correction: 3D biodegradable scaffolds of polycaprolactone with silicate-containing hydroxyapatite microparticles for bone tissue engineering: high-resolution tomography and in vitro study
Shkarina, S.; Shkarin, R.; Weinhardt, V.; Melnik, E.; Vacun, G.; Kluger, P. J.; Loza, K.; Epple, M.; Ivlev, S. I.; Baumbach, T.; Surmeneva, M. A.; Surmenev, R. A.
2018. Scientific reports, 8 (1), Article No 17589. doi:10.1038/s41598-018-35952-w

Quantitative morphometric analysis of adult teleost fish by X-ray computed tomography
Weinhardt, V.; Shkarin, R.; Wernet, T.; Wittbrodt, J.; Baumbach, T.; Loosli, F.
2018. Scientific reports, 8 (1), Art. Nr.: 16531. doi:10.1038/s41598-018-34848-z

3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
Allgeier, S.; Bartschat, A.; Bohn, S.; Peschel, S.; Reichert, K.-M.; Sperlich, K.; Walckling, M.; Hagenmeyer, V.; Mikut, R.; Stachs, O.; Köhler, B.
2018. Scientific reports, 8 (1), Article Number 7468. doi:10.1038/s41598-018-25915-6

The Energy Application Domain Extension for CityGML: enhancing interoperability for urban energy simulations
Agugiaro, G.; Benner, J.; Cipriano, P.; Nouvel, R.
2018. Open geospatial data, software and standards, 3 (1), 2. doi:10.1186/s40965-018-0042-y

Optimierung in der Automatisierungstechnik
Graichen, K.; Gröll, L.
2018. Automatisierungstechnik, 66 (11), 875–876. doi:10.1515/auto-2018-0122

Klassifikation von Optimierungsproblemen
Gröll, L.
2018. Automatisierungstechnik, 66 (11), 903–927. doi:10.1515/auto-2018-0081

Corneal Subbasal Nerve Plexus Changes in Severe Diabetic Charcot Foot Deformity: A Pilot Study in Search for a DNOAP Biomarker
Herlyn, A.; Prakasam, R. K.; Peschel, S.; Allgeier, S.; Köhler, B.; Winter, K.; Guthoff, R. F.; Mittlmeier, T.; Stachs, O.
2018. Journal of diabetes research, 2018, Art. Nr.: 5910639. doi:10.1155/2018/5910639

Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters
Masino, J.; Thumm, J.; Levasseur, G.; Frey, M.; Gauterin, F.; Mikut, R.; Reischl, M.
2018. Journal of advanced transportation, 2018, Article: 8647607. doi:10.1155/2018/8647607

Wear behaviour of grey cast iron with the presence of copper addition
Abdou, S.; Elkaseer, A.; Kouta, H.; Abu Qudeiri, J.
2018. Advances in mechanical engineering, 10 (10), 1–8. doi:10.1177/1687814018804741

A hybrid auricular control system: direct, simultaneous, and proportional myoelectric control of two degrees of freedom in prosthetic hands
Schmalfuss, L.; Hahne, J.; Farina, D.; Hewitt, M.; Kogut, A.; Doneit, W.; Reischl, M.; Rupp, R.; Liebetanz, D.
2018. Journal of neural engineering, 15 (5), 056028. doi:10.1088/1741-2552/aad727

Comparison of lossless compression schemes for high rate electrical grid time series for smart grid monitoring and analysis
Jumar, R.; Maaß, H.; Hagenmeyer, V.
2018. Computers & electrical engineering, 71, 465–476. doi:10.1016/j.compeleceng.2018.07.008

Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system
Brown, T.; Schlachtberger, D.; Kies, A.; Schramm, S.; Greiner, M.
2018. Energy, 160, 720–739. doi:10.1016/j.energy.2018.06.222

Cross-sectional image quality improvements in 3D corneal confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Prakasam, R.; Allgeier, S.; Reichert, K.-M.; Bartschat, A.; Stolz, H.; Guthoff, R.; Köhler, B.; Mikut, R.; Stachs, O.
2018, September 27. 116. Deutsche Ophthalmologische Gesellschaft e.V.: Kongress (DOG-Kongress 2018), Bonn, Deutschland, 27.–30. September 2018

Reflection on boon and bane of Water Absorbing Components in Active Implants during Package Testing and Operation
Koker, L.; Gengenbach, U.; Bretthauer, G.
2018. Current directions in biomedical engineering, 4 (1), 319–322. doi:10.1515/cdbme-2018-0077

Analysis of focus shift speed for in vivo 3D corneal confocal microscopy
Allgeier, S.; Bartschat, A.; Bohn, S.; Reichert, K.-M.; Sperlich, K.; Mikut, R.; Stachs, O.; Köhler, B.
2018. Biomedical engineering, 63 (s1), S192. doi:10.1515/bmt-2018-6037

Selection of safe "salt-in-carbonate" electrolytes for lithium-ion batteries
Wang, Z.; Hofmann, A.; Hanemann, T.
2018, September. Electrochemistry, Ulm, Germany, September 24 - 26, 2018

Response to ‘Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems’
Brown, T. W.; Bischof-Niemz, T.; Blok, K.; Breyer, C.; Lund, H.; Mathiesen, B. V.
2018. Renewable & sustainable energy reviews, 92, 834–847. doi:10.1016/j.rser.2018.04.113

A Consistent View of the Smart Grid: Bridging the Gap between IEC CIM and IEC 61850
Schumilin, A.; Duepmeier, C.; Stucky, K.-U.; Hagenmeyer, V.
2018. 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Praha, CZ, August 29–31, 2018, 321–325, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEAA.2018.00059

Expert vs. novice comparison for walking and running using three-dimensional uncontrolled manifold-approach
Möhler, F.; Marahrens, S.; Ringhof, S.; Mikut, R.; Stein, T.
2018. 23rd Annual Congress of the European College of Sport Science. Dublin, Ireland, July 04 - July 07, 2018 - Book of Abstracts. Ed.: M. Murphy, 236, European College of Sport Science (ECSS)

Automated Versatile DIY Microscope Platform
Pylatiuk, C.; Vogt, M.; Scheikl, P.; Gottwald, and E.
2018, Juli. 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Honolulu, HI, USA, 17.–21. Juli 2018

Automated Versatile DIY Microscope Platform
Pylatiuk, C.; Vogt, M.; Scheikl, P.; Gottwald, and E.
2018. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 5310–5312, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EMBC.2018.8513465

Ambulatory sensor for circumference monitoring of lower limbs
Gehin, C.; Grenier, E.; Chaigneau, C.; Massot, B.; Claude, A.; Montalibet, A.; McAdams, E.
2018, Juli. 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Honolulu, HI, USA, 17.–21. Juli 2018. doi:10.1109/EMBC.2018.8513565

Efficient Coupling Interfaces in Photonic Systems Enabled by Printed Freeform Micro-Optics
Koos, C.; Freude, W.; Randel, S.; Dietrich, P.-I.; Blaicher, M.; Xu, Y.; Billah, M. R.; Hoose, T.; Trappen, M.; Hofmann, A.
2018. 20th International Conference on Transparent Optical Networks, ICTON 2018; Bucharest; Romania; 1 July 2018 through 5 July 2018, Art. Nr.: 8473851, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICTON.2018.8473851

Hybrid integration of silicon photonics circuits and InP lasers by photonic wire bonding
Billah, M. R.; Blaicher, M.; Hoose, T.; Dietrich, P.-I.; Marin-Palomo, P.; Lindenmann, N.; Nesic, A.; Hofmann, A.; Troppenz, U.; Moehrle, M.; Randel, S.; Freude, W.; Koos, C.
2018. Optica, 5 (7), 876–883. doi:10.1364/OPTICA.5.000876

A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations
Milosavljevic, P.; Schneider, R.; Cortinovis, A.; Faulwasser, T.; Bonvin, D.
2018. Computers & chemical engineering, 115, 474–486. doi:10.1016/j.compchemeng.2018.05.006

Active directional modifier adaptation for real-time optimization
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2018. Computers & chemical engineering, 115, 246–261. doi:10.1016/j.compchemeng.2018.02.016

Real-Time optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes
Avila Ferreira, T. de; Shukla, H. A.; Faulwasser, T.; Jones, C. N.; Bonvin, D.
2018. European Control Conference (ECC18), Limassol, CY, June 12-15, 2018, 465–470, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ECC.2018.8550397

Optimal Load Sharing for Serial Compressors via Modifier Adaptation
Milosavljevic, P.; Cortinovis, A.; Schneider, R.; Faulwasser, T.; Mercangoz, M.; Bonvin, D.
2018. Proceedings European Control Conference (ECC18), Limassol, CY, June 12-15, 2018, 2306–2311, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ECC.2018.8550102

The Price of Uncertainty: Chance-Constrained OPF vs. in-Hindsight OPF
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 2018 Power Systems Computation Conference (PSCC), Dublin, IRL, June 11-15, 2018, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/PSCC.2018.8442162

Auction Design to Use Flexibility Potentials in the Energy - Intensive Industry
Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2018. 15th International Conference on the European Energy Market (EEM), Lodz, Poland, 27–29 June 2018, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM.2018.8470003

Design for manufacture of a varifocal rotation optics
Sieber, I.; Stiller, P.; Moser, D.; Gengenbach, U.
2018, Juni. SPIE Optical Systemy Design, Frankfurt, May 14-17, 2018

Design for manufacture of a varifocal rotation optics
Sieber, I.; Stiller, P.; Gengenbach, U.; Moser, D.
2018. Optical Design and Engineering VII. Ed.: L. Mazuray, 10, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2311650

Cellular in vivo 3D imaging of the cornea by confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Allgeier, S.; Bartschat, A.; Prakasam, R.; Reichert, K.-M.; Stolz, H.; Guthoff, R.; Mikut, R.; Köhler, B.; Stachs, O.
2018. Biomedical optics express, 9 (6), 2511–2525. doi:10.1364/BOE.9.002511

Simultaneous Analysis of Sensor Data for Breath Control in Respiratory Air
Seifert, R.; Conrad, T.; Peter, J.; Keller, H.
2018. Chemosensors, 6 (2), 15. doi:10.3390/chemosensors6020015

Experimental analysis of spallation particle trajectories in an arc-jet environment
Bailey, S. C. C.; Bauer, D.; Panerai, F.; Splinter, S. C.; Danehy, P. M.; Hardy, J. M.; Martin, A.
2018. Experimental thermal and fluid science, 93, 319–325. doi:10.1016/j.expthermflusci.2018.01.005

A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows
Liu, J.; Braun, E.; Dupmeier, C.; Kuckertz, P.; Ryberg, D. S.; Robinius, M.; Stolten, D.; Hagenmeyer, V.
2018, April. IEEE International Conference on Software Architecture (ICSA 2018), Seattle, WA, USA, 30. April–4. Mai 2018

A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows
Liu, J.; Braun, E.; Dupmeier, C.; Kuckertz, P.; Ryberg, D. S.; Robinius, M.; Stolten, D.; Hagenmeyer, V.
2018. 2018 IEEE International Conference on Software Architecture (ICSA), Seattle, WA, April 30 - May 4, 2018, 145–155, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSA.2018.00024

In situ 3D nanoprinting of free-form coupling elements for hybrid photonic integration
Dietrich, P.-I.; Blaicher, M.; Reuter, I.; Billah, M.; Hoose, T.; Hofmann, A.; Caer, C.; Dangel, R.; Offrein, B.; Troppenz, U.; Moehrle, M.; Freude, W.; Koos, C.
2018. Nature photonics, 12 (4), 241–247. doi:10.1038/s41566-018-0133-4

The DaNa2.0 Knowledge Base Nanomaterials - An Important Measure Accompanying Nanomaterials Development
Krug, H.; Bohmer, N.; Kühnel, D.; Marquardt, C.; Nau, K.; Steinbach, C.
2018. Nanomaterials, 8 (4), 204. doi:10.3390/nano8040204

Hierarchical Distributed ADMM for Predictive Control with Applications in Power Networks
Braun, P.; Faulwasser, T.; Grüne, L.; Kellett, C. M.; Weller, S. R.; Worthmann, K.
2018. IFAC Journal of Systems and Control, 3, 10–22. doi:10.1016/j.ifacsc.2018.01.001

Using water-soluble additive manufacturing for cheap and soft silicon organ models
Reichard, D.; Gern, M.; Funke, I.; Bodenstedt, S.; Kenngott, H.; Müller-Stich, B. P.; Pylatiuk, C.; Dillmann, R.; Speidel, S.
2018. Medical Imaging 2018 : Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, February 10–15, 2018. Ed.: B. Fei, Article No. 105761Q, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2293339

Rotor-angle versus voltage instability in the third-order model for synchronous generators
Sharafutdinov, K.; Rydin Gorjão, L.; Matthiae, M.; Faulwasser, T.; Witthaut, D.
2018. Chaos, 28 (3), Art.Nr. 033117. doi:10.1063/1.5002889

Economic MPC without terminal constraints: Gradient-correcting end penalties enforce asymptotic stability
Zanon, M.; Faulwasser, T.
2018. Journal of process control, 63, 1–14. doi:10.1016/j.jprocont.2017.12.005

Image-Based Characterization of Alternative Fuel Combustion With Multifuel Burners
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2018. IEEE transactions on industrial informatics, 14 (2), 588–597. doi:10.1109/TII.2017.2742533

A comprehensive modelling framework for demand side flexibility in smart grids
Barth, L.; Ludwig, N.; Mengelkamp, E.; Staudt, P.
2018. Computer science - research and development, 33 (1-2), 13–23. doi:10.1007/s00450-017-0343-x

On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages
Appino, R. R.; González Ordiano, J. Á.; Mikut, R.; Faulwasser, T.; Hagenmeyer, V.
2018. Applied energy, 210, 207–1218. doi:10.1016/j.apenergy.2017.08.133

Entwurf robuster optischer Systeme am Beispiel des Künstlichen Akkommodationssystems
Sieber, I.
2018. Automatisierungstechnik, 66 (1), 19–29. doi:10.1515/auto-2017-0074

Cross-sectional image quality improvements in 3D corneal confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Prakasam, R.; Allgeier, S.; Reichert, K.-M.; Bartschat, A.; Stolz, H.; Guthoff, R.; Köhler, B.; Mikut, R.; Stachs, O.
2018. Der Ophthalmologe, 115 (Suppl 1), 74

Comparison of Machine Learning Approaches for Time-series-based Quality Monitoring of Resistance Spot Welding (RSW)
Zhou, B.; Pychynski, T.; Reischl, M.; Mikut, R.
2018. Archives of Data Science, Series A (Online First), 5 (1), A13, 17 S. online. doi:10.5445/KSP/1000087327/13

A Cost-efficient Software Testbed for Cyber-Physical Security in IEC 61850-based Substations
Elbez, G.; Keller, H. B.; Hagenmeyer, V.
2018. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018; Aalborg; Denmark; 29 October 2018 through 31 October 2018, Art. Nr.: 8587456, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm.2018.8587456

Policy optimization for optimal power flow under uncertainty
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 2nd International Symposium on Energy System Optimization (ISESO 2018), Karlsruhe, Deutschland, 10.–11. Oktober 2018

Microservice-based data management for smart grid research
Süß, W.; Braun, E.; Stucky, K.-U.
2018. SBD Workshop (2018), Jülich, Deutschland, 11.–12. Juni 2018

Zur Stabilitätsanalyse von Totzeitsystemen
Scholl, T.; Hagenmeyer, V.; Gröll, L.
2018. Tagung des GMA-Fachausschusses 1.40 ’Systemtheorie und Regelungstechnik’ (2018), Anif, Österreich, 17.–19. September 2018

Optimal load sharing for serial compressors via modifier adaptation
Milosavljevic, P.; Cortinovis, A.; Schneider, R.; Faulwasser, T.; Mercangöz, M.; Bonvin, D.
2018. European Control Conference (ECC 2018), Limassol, Zypern, 12.–15. Juni 2018

Real-time optimization of uncertain process systems via modifier adaptation and Gaussian processes
Avila Ferreira, T. de; Shukla, H. A.; Faulwasser, T.; Jones, C. N.; Bonvin, D.
2018. European Control Conference (ECC 2018), Limassol, Zypern, 12.–15. Juni 2018

Chancen der Digitalisierung für die Energiewende
Hagenmeyer, V.
2018. Jahrestagung des Forschungsverbundes Erneuerbare Energien (FVEE 2018), Berlin, Deutschland, 17.–18. Oktober 2018

Errors in online cable parameter estimation
Jumar, R.
2018. 3. Retreat des DFG Graduiertenkollegs 2153 ’Energiezustandsdaten’ (2018), Gleiszellen-Gleishorbach, Deutschland, 8.–10. Oktober 2018

A highspeed-camera based measurement system for the online-analysis of the lithium ceramic breeder pebble production
Waibel, P.; Haas, M.; Matthes, J.; Leys, O.; Keller, H. B.; Knitter, R.
2018. BEYOND – World Sustainable Built Environment Conference (2018), Karlsruhe, Deutschland, 13.–14. September 2018

Cross-simulation KIT-DTU: First results
Engelmann, A.
2018. 9th SmiLES Technical Workshop (2018), Karlsruhe, Deutschland, 22.–23. Oktober 2018

Vision digitale Zukunft. Cyber Security Problematik und Lösungsansätze
Keller, H. B.
2018. Sicherheit + Management, 27 (11), 60–62

Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning [in press]
Schutera, M.; Goby, N.; Smolarek, S.; Reischl, M.
2018. Accepted to 32nd Annual Conference on Neural Information Processing Systems (NIPS), Montreal, CDN, December 3-8, 2018

Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning
Schutera, M.; Goby, N.; Smolarek, S.; Reischl, M.
2018. 32nd Annual Conference on Neural Information Processing Systems (NIPS 2018), Montreal, Kanada, 3.–8. Dezember 2018

Smart Energy Grid der Zukunft
Keller, H. B.; Elbez, G.; Hagenmeyer, V.
2018. 5. Berliner Gesamtkonferenz der Sicherheitsinstitutionen (BGKdSI 2018), Berlin, Deutschland, 14. September 2018

Integrative phenotyping of Zebrafish larvae: high-throughput and high-content morphological and behavioral screening Platforms
Peravali, R.; Marcato, D.; Gursky, E.; Ferg, M.; Geisler, R.; Stegmaier, J.; Pylatiuk, C.; Mikut, R.; Strähle, U.
2018. 13th International Zebrafish Conference (IZFC 2018), Madison, WI, USA, 20.–24. Juni 2018

Systems Genetics Approach to Study Congenital Heart Disease in a Fish Model
Gierten, J.; Loosli, F.; Gehrig, J.; Pylatiuk, C.; Fitzgerald, T.; Birney, E.; Wittbrodt, J.; Gorenflo, M.
2018. The thoracic and cardiovascular surgeon, 66 (S02). doi:10.1055/s-0038-1628326

Systems Genetics Approach to Study Congenital Heart Disease in a Fish Model
Gierten, J.; Loosli, F.; Gehrig, J.; Pylatiuk, C.; Fitzgerald, T.; Birney, E.; Wittbrodt, J.; Gorenflo, M.
2018. 50th Annual Meeting of the German Society for Pediatric Cardiology (DGPK 2018), Leipzig, Deutschland, 17.–20. Februar 2018

Breakthrough in permanent cooling of instrumentation electronics - Results of systematic experimental & Analytical refrigerant selection, dynamic seals evaluation and robust engine design
Holbein, B.
2018. 42nd GRC Annual Meeting (2018), Reno, NV, USA, 14.–17. Oktober 2018

Automatisierte Generierung eines 3D-Baumkatasters am Beispiel des KIT Campus Nord
Kunz, D.; Geiger, A.
2018. 30.Forum Bauinformatik : von jungen Forschenden für junge Forschende. Hrsg.: M. Steiner, 217–224, Bauhaus-Universität Weimar

Economic MPC with gradient-correcting end penalties
Faulwasser, T.; Zanon, M.
2018. 14th Viennese Conference on Optimal Control and Dynamic Games (2018), Wien, Österreich, 3.–6. Juli 2018

The impact of sector-coupling on transmission reinforcement needs in a highly-renewable European energy scenario
Hörsch, J.; Hagenmeyer, V.; Brown, T.
2018. 17th Wind Integration Workshop : International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants (WIW 2018), Stockholm, Schweden, 18. Oktober 2018

Towards economic NMPC for multi-stage AC optimal power flow
Faulwasser, T.; Engelmann, A.
2018

Erfahrungen beim Aufbau und Betrieb von webbasierten Messnetzen im Umweltbereich
Schlachter, T.
2018. Tech-TRANSFER Digitalisierung in der Wasserversorgung - Künstliche Intelligenz, Algorithmen, Datenplattformen, Wasser 4.0 (2018), Karlsruhe, Deutschland, 14. November 2018

Multivalent neighborhood heat grid including power-to-heat & shared storage concept
Holbein, B.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Grand Renewable Energy 2018 International Conference and Exhibition, Pacifico Yokohama, J, June 17-22, 2018. Proceedings on DVD

Multivalent neighborhood heat grid including power-to-heat & shared storage concept
Holbein, B.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Grand Renewable Energy International Conference and Exhibition (2018), Yokohama, Japan, 17.–22. Juni 2018

Digital transformation in airport ground operations
Kovynyov, I.; Mikut, R.
2018

Transfer learning versus multi-agent learning regarding distributed decision-making in highway traffic
Schutera, M.; Goby, N.; Neumann, D.; Reischl, M.
2018. Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, including ECAI/IJCAI, AAMAS and ICML 2018 conferences (FAIM 2018), Stockholm, Sweden, July 14, 2018. Ed.: A.L.C. Bazzan, 57–62

Transfer learning versus multi-agent learning regarding distributed decision-making in highway traffic
Schutera, M.; Goby, N.; Neumann, D.; Reischl, M.
2018. 10th International Workshop on Agents in Traffic and Transportation (ATT 2018), Stockholm, Schweden, 14. Juli 2018

ReCal - an innovative mathematical procedure to determine the data of timely recalibration for sensor systems with metal oxide gas sensors
Seifert, R.; Keller, H. B.
2018. SENSORDEVIES 2018 : The 9th International Conference on Sensor Device Technologies and Applications. Ed.: P.E. Cruvinel, 181–184, International Academy, Research, and Industry Association (IARIA)

ReCal - an innovative mathematical procedure to determine the data of timely recalibration for sensor systems with metal oxide gas sensors
Seifert, R.; Keller, H. B.
2018. 9th International Conference on Sensor Device Technologies and Applications (SENSORDEVICES 2018), Venedig, Italien, 16.–20. September 2018

Mixed-Integer vs. Real-Valued Formulations of Battery Scheduling Problems
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 10th IFAC Symposium on Control of Power and Energy Systems (CPES 2018), Tokio, Japan, 4.–6. September 2018

Hierarchical Distributed Mixed-Integer Optimization for Reactive Power Dispatch
Murray, A.; Engelmann, A.; Hagenmeyer, V.; Faulwasser, T.
2018. 10th Symposium on Control of Power and Energy Systems (CEPS 2018), Tokio, Japan, 4.–6. September 2018

Compensation of input delays
Ponomarev, A.; Hofmann, J.
2018. Siegmundsburg Workshop Mathematische Systemtheorie (2018), Ilmenau, Deutschland, 24.–25. September 2018

eASiMOV - A New Framework for Power Grid Analysis
Çakmak, H. K.; Kyesswa, M.; Kühnapfel, U. G.; Hagenmeyer, V.
2018. 7. Annual Conference of the KIT Energy Center (2018), Karlsruhe, Deutschland, 26. Juni 2018. doi:10.13140/RG.2.2.15952.20480

Zur Rolle der Adjungierten in der ökonomischen modellprädiktiven Regelung
Faulwasser, T.; Zanon, M.
2018. Gemeinsamer Workshop des GMA Fachausschusses 1.40 und des GAMM Fachausschusses Dynamik und Regelungstheorie (2018), Kiel, Deutschland, 17.–21. September 2018

Economic MPC - dissipativity, turnpikes and adjoints
Faulwasser, T.
2018. Slovak University of Technology (2018), Bratislava, Slowakei, 28. September 2018

Nonlinear dynamics, optimization and control of distributed energy systems. 661.WE-Heraeus-Seminar
Faulwasser, T.; Knebel, J.; Robinius, M.; Witthaut, D.
2018. Physik-Journal, 17 (5), 62

XPlanung und INSPIRE
Benner, J.
2018. Geonetzwerk.metropoleRuhr Workshop ’Der digitale Plan’ (2018), Essen, Deutschland, 20. November 2018

Nutzung von 3D-Gebäudemodellen für thermische Simulationen auf Gebäude- und Stadtebene
Benner, J.
2018. DGfK Workshop ’3D-Stadtmodelle’ (2018), Bonn, Deutschland, 13.–14. November 2018

Distributed Mixed-Integer Optimization for Reactive Power Dispatch
Murray, A.; Engelmann, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 10th IFAC Symposium on Control of Power and Energy Systems (CPES 2018), Tokio, Japan, 4.–6. September 2018

A knowledge-based decision support system for micro and nano manufacturing process chains
Müller, T.; Hagenmeyer, V.; Schmidt, A.; Scholz, S.; Elkaseer, A.
2018. 44th Euromicro Conference on Software Engineering and Advanced Applications (2018), Prag, Tschechien, 29.–31. August 2018

Automatisierte Generierung eines 3D-Baumkatasters am Beispiel des KIT Campus Nord
Kunz, D.; Geiger, A.
2018. 30. Forum Bauinformatik (2018), Weimar, Deutschland, 19.–21. September 2018

Credit Cycles and Monetary Policy in a Model with Regime Switches
Faulwasser, T.; Gross, M.; Semmler, W.
2018. SSRN Electronic Journal. doi:10.2139/ssrn.3288763

Optimal Power Flow Subject to Non-Gaussian Stochastic Uncertainties: An L²-based Approach
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. Proceedings in applied mathematics and mechanics, 18 (1, SI), e201800371. doi:10.1002/pamm.201800371

Mixed-Integer vs. Real-Valued Formulations of Battery Scheduling Problems
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. IFAC-PapersOnLine, 51 (28), 350–355. doi:10.1016/j.ifacol.2018.11.727

Hierarchical Distributed Mixed-Integer Optimization for Reactive Power Dispatch
Murray, A.; Engelmann, A.; Hagenmeyer, V.; Faulwasser, T.
2018. IFAC-PapersOnLine, 51 (28), 368–373. doi:10.1016/j.ifacol.2018.11.730

Interactive and Quantitative Knowledge-Discovery in Large-Scale 3D Tracking Data. Dissertation
Schott, B.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000088877

Distributed optimal power flow using ALADIN
Engelmann, A.; Mühlpfordt, T.; Faulwasser, T.
2018. School of Information Science and Technology (2018), Schanghai, China, 2. November 2018

A generic distributed microservices and container based framework for metaheuristic optimization
Khalloof, H.; Jakob, W.; Liu, J.; Braun, E.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2018. Proceedings of the Genetic and Evolutionary Conference Companion, Kyoto, J, July 15-19, 2018, 1363–1370, Association for Computing Machinery (ACM). doi:10.1145/3205651.3208253

Towards distributed stochastic optimal power flow
Engelmann, A.; Mühlpfordt, T.; Faulwasser, T.
2018. GMA-FAchauschuss 1.50 "Grundlagen vernetzter Systeme" (2018), Ulm, Deutschland, 14. Mai 2018

IT-security of cyber-physical systems for the future interacting energy system
Reibelt, K.; Elbez, G.; Schneider, O.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2018. 7. Jahrestagung des KIT-Zentrums Energie (2018), Karlsruhe, Deutschland, 26. Juni 2018

An integrated workflow to automatically fabricate flexible electronics by functional printing and SMT component mounting
Gengenbach, U.; Ungerer, M.; Aytac, E.; Koker, L.; Reichert, K. M.; Stiller, P.; Hagenmeyer, V.
2018. Proceedings of the 14th International Conference on Automation Science and Engineering (CASE), Paper ThCT4.4. doi:10.1109/COASE.2018.8560456

An integrated workflow to automatically fabricate flexible electronics by functional printing and SMT component mounting
Gengenbach, U.; Ungerer, M.; Aytac, E.; Koker, L.; Reichert, K. M.; Stiller, P.; Hagenmeyer, V.
2018. 14th IEEE International Conference on Automation Science and Engineering (CASE 2018), München, Deutschland, 20.–24. August 2018

Distributed Non-Convex Optimization in Power Systems
Engelmann, A.; Jiang, Y.; Houska, B.; Faulwasser, T.
2018. Workshop on Optimization , Machine Learning, and Data Science, Braunschweig, April 12-13, 2018

Distributed optimal power flow - Feasibility vs. optimality
Engelmann, A.; Faulwasser, T.
2018. 2nd International Symposium on Energy System Optimization (ISESO 2018), Karlsruhe, Deutschland, 10.–11. Oktober 2018

Digital Detection and Correction of Errors in As-built Parts: a Step Towards Automated Quality Control of Additive Manufacturing
Elkaseer, A.; Mueller, T.; Charles, A. P.; Scholz, S.
2018. World Congress on Micro and Nano Manufacturing (WCMNM 2018 2018), Portorož, Slowenien, 17.–20. September 2018

Digital Detection and Correction of Errors in As-built Parts: a Step Towards Automated Quality Control of Additive Manufacturing
Elkaseer, A.; Mueller, T.; Charles, A. P.; Scholz, S.
2018. World Congress on Micro and Nano Manufacturing. Ed.: J. Valentincic, 389–392, Research Publishing. doi:10.3850/978-981-11-2728-1_58

Interactive search and exploration of entity-entity relationships in a huge document corpus
Schmidt, A.; Scholz, S.
2018. 10th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2018), Nizza, Frankreich, 20.–24. Mai 2018

A practical approach for teaching model driven software development: A pleading for the ’from scratch Approach’
Schmidt, A.
2018. IEEE Global Engineering Education Conference (EDUCON 2018), Santa Cruz de Tenerife, Spain, 17.–20. April 2018

Interactive search and exploration of entity-entity relationships in a huge document corpus
Schmidt, A.; Scholz, S.
2018. 10th International Conference on Advances in Databases, Knowledge, and Data Applications. Ed.: A. Schmidt, International Academy, Research, and Industry Association (IARIA)

DaNa2.0 – Diverse and reliable information on environmental safety of nanomaterials
Kühnel, D.; Steinbach, C.; Bohmer, N.; Krug, H. F.; Nau, K.; Marquardt, C.
2018. 9th International Conference on Nanotoxicology (NanoTox 2018), Neuss, Deutschland, 18.–21. September 2018

DaNa2.0 - A concept based search approach in the area of nanotoxicology
Marquardt, C.; Nau, K.; Schmidt, A.
2018. 9th International Conference on Nanotoxicology (NanoTox 2018), Neuss, Deutschland, 18.–21. September 2018

PCE.jl - Towards a Julia Package for Polynomial Chaos Expansion
Becker, F.; Mühlpfordt, T.; Zahn, F.; Faulwasser, T.
2018. JuliaCon (2018), London, Vereinigtes Königreich, 7.–11. August 2018

Reliable Dispatch of Renewable Generation via Charging of Time-varying PEV Populations
Appino, R. R.; Munoz-Ortiz, M.; Gonzalez Ordiano, J. A.; Mikut, R.; Hagenmeyer, V.; Faulwasser, T.
2018. IEEE transactions on power systems, 34 (2), 1558–1568. doi:10.1109/TPWRS.2018.2873409

Cross-Media Mesh Networks for Smart Home and Smart Grid Applications
Wiegel, F.; Hagenmeyer, V.; Oberschmidt, G.
2018. 2018 the 6th IEEE International Conference on Smart Energy Grid Engineering (SEGE), 205–211, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE.2018.8499305

A knowledge-based decision support system for micro and nano manufacturing process chains
Müller, T.; Hagenmeyer, V.; Schmidt, A.; Scholz, S.; Elkaseer, A.
2018. Euromicro Conference on Software Engineering and Advanced Applications 2018 (SEAA 2018), Prague, CZ, August 29-31, 2018. Ed.: T. Bures, 314–320, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEAA.2018.00058

Therapeutic Chemical Screen Identifies Phosphatase Inhibitors to Reconstitute PKB Phosphorylation and Cardiac Contractility in ILK-Deficient Zebrafish
Pott, A.; Shahid, M.; Köhler, D.; Pylatiuk, C.; Weinmann, K.; Just, S.; Rottbauer, W.
2018. Biomolecules, 8 (4), Art. Nr.: 153. doi:10.3390/biom8040153

Metrology data-based simulation of freeform optics
Sieber, I.; Yi, A. Y.; Gengenbach, U.
2018. Applied Sciences, 8 (12), Art. Nr.: 2338. doi:10.3390/app8122338

Infrared measurements and estimation of temperature in the restrictive scope of an industrial cement plant
Gabriel, R.; Keller, S.; Matthes, J.; Waibel, P.; Keller, H. B.; Hinz, S.
2018. 2018 ISPRS Technical Commission I Midterm Symposium on Innovative Sensing - From Sensors to Methods and Applications; Karlsruhe; Germany; 10 October 2018 through 12 October 2018, 53–60, Curran. doi:10.5194/isprs-annals-IV-1-53-2018

Knowledge-based decision support with self-learning methods
Scherer, K. P.; Rieder, C.; Germann, M.; Baumeister, J.; Plehn, S.
2018. ADVCOMP 2018 : 12th International Conference on Advanced Engineering Computing and Application Sciences Athinai, GR, November 18-22, 2018. Ed.: C.P. Rückemann, 16–17, International Academy, Research, and Industry Association (IARIA)

Knowledge-based decision support with self-learning methods
Scherer, K. P.; Rieder, C.; Germann, M.; Baumeister, J.; Plehn, S.
2018. 12th International Conference on Advanced Engineering Computing and Application Sciences (ADVCOMP 2018), Athen, Griechenland, 18.–22. November 2018

Asymptotic Stability of Economic NMPC: The Importance of Adjoints
Faulwasser, T.; Zanon, M.
2018. IFAC-PapersOnLine, 51 (20), 157–168. doi:10.1016/j.ifacol.2018.11.009

Reflection on boon and bane of Water Absorbing Components in Active Implants during Operation and Package Testing
Koker, L.; Gengenbach, U.; Bretthauer, G.
2018. Biomedical engineering, 63 (S1), S218

Reflection on boon and bane of Water Absorbing Components in Active Implants during Operation and Package Testing
Koker, L.; Gengenbach, U.; Bretthauer, G.
2018. 52nd Annual Conference of the German Society for Biomedical Engineering (DGBMT within VDE) (BMT 2018), Aachen, Deutschland, 26.–28. September 2018

Effect of low-temperature plasma treatment of electrospun polycaprolactone fibrous scaffolds on calcium carbonate mineralisation
Ivanova, A. A.; Syromotina, D. S.; Shkarina, S. N.; Shkarin, R.; Cecilia, A.; Weinhardt, V.; Baumbach, T.; Saveleva, M. S.; Gorin, D. A.; Douglas, T. E. L.; Parakhonskiy, B. V.; Skirtach, A. G.; Cools, P.; De Geyter, N.; Morent, R.; Oehr, C.; Surmeneva, M. A.; Surmenev, R. A.
2018. RSC Advances, 8 (68), 39106–39114. doi:10.1039/c8ra07386d

Analysis of cyber-physical attacks against the future energy system
Elbez, G.; Reibelt, K.; Schneider, O.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2018. 7. Jahrestagung des KIT-Zentrums Energie (2018), Karlsruhe, Deutschland, 26. Juni 2018

Solving stochastic optimal power flow problem via polynomial chaos expansions
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. SIAM Conference on Uncertanty Quantification, Garden Grove, CA, April 16-19, 2018

Quantification of environmental influences and interferences affecting an active lens implant
Koker, L.; Stoll. Matthias; Gengenbach, U.; Bretthauer, G.
2018. Biomedical engineering, 63 (S1), S347

Quantification of environmental influences and interferences affecting an active lens implant
Koker, L.; Stoll. Matthias; Gengenbach, U.; Bretthauer, G.
2018. 52nd Annual Conference of the German Society for Biomedical Engineering (DGBMT within VDE) (BMT 2018), Aachen, Deutschland, 26.–28. September 2018

Distributed Stochastic AC Optimal Power Flow based on Polynomial Chaos Expansion
Engelmann, A.; Mühlpfordt, T.; Jiang, Y.; Houska, B.; Faulwasser, T.
2018. Annual American Control Conference (ACC 2018), Milwaukee, WI, USA, 27.–29. Juni 2018

Storage scheduling with stochastic uncertainties: Feasibility and cost of imbalances
Appino, R. R.; Ordiano, J. A. G.; Mikut, R.; Hagenmeyer, V.; Faulwasser, T.
2018. 20th Power Systems Computation Conference (PSCC 2018), Dublin, Irland, 11.–15. Juni 2018

A new classification of attacks against the cyber-physical security of smart grids
Elbez, G.; Keller, H. B.; Hagenmeyer, V.
2018. ARES 2018: International Conference on Availability, Reliability and Security, August 27–30, 2018, Hamburg, Germany., Art.-Nr. 63, Association for Computing Machinery (ACM). doi:10.1145/3230833.3234689

Ein neues Konzept für die semantische Suche in heterogenen Informationssystemen zu Fragestellungen aus Umwelt und Energie. Dissertation
Schlachter, T.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000087829

Flow-based analysis of storage usage in a low-carbon european electricity scenario
Tranberg, B.; Schafer, M.; Brown, T.; Horsch, J.; Greiner, M.
2018. 15th International Conference on the European Energy Market, EEM 2018; Lodz; Poland; 27 June 2018 through 29 June 2018, Art. Nr.: 8469951, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM.2018.8469951

Best Practices in Deep Learning-Based Segmentation of Microscopy Images
Scherr, T.; Bartschat, A.; Reischl, M.; Stegmaier, J.; Mikut, R.
2018. Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018. Ed.: F. Hoffmann, 175–195, KIT Scientific Publishing. doi:10.5445/IR/1000087734

Deep learning approaches to improve cell segmentation and tracking accuracy for interactive knowledge discovery in Zebrafish embryos
Scherr, T.; Schott, B.; Traub, M.; Takamiya, M.; Bartschat, A.; Kobitski, A.; Nienhaus, G. U.; Strähle U.; Mikut, R.; Stegmaier, J.
2018. Zebrafish Models for Human Eye Diseases, Freiburg, September 14-15, 2018

Distributed and stochastic optimization in power systems
Engelmann, A.
2018. Workshop on Optimization , Machine Learning, and Data Science, Braunschweig, April 12-13, 2018

Interactive analysis of cell tracks in light sheet microscopy images using embryominer
Scherr, T.; Schott, B.; Traub, M.; Takamiya, M.; Bartschat, A.; Kobitski, A. Y.; Nienhaus, G. U.; Strähle, U.; Stegmaier, J.; Mikut, R.
2018. 10th Light Sheet Fluorescence Microscopy Conference (LSFM 2018), Dresden, Deutschland, 12.–15. August 2018

Robustness of Deep Learning Architectures with Respect to Training Data Variation
Bartschat, A.; Unger, T.; Scherr, T.; Stegmaier, J.; Mikut, R.; Reischl, M.
2018. Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018. Ed.: F. Hoffmann, 129–138, KIT Scientific Publishing. doi:10.5445/IR/1000087724

On the creation of quantile regression based scenario and parametric probabilistic forecasts in the context of energy forecasting
González Ordiano, J. Á.; Remo Appino, R.; Faulwasser, T.; Hagenmeyer, V.; Mikut, R.
2018. International Symposium on Forecasting (ISF 2018), Boulder, CO, June 16-20, 2018. Conference Proceedings

On the creation of quantile regression based scenario and parametric probabilistic forecasts in the context of energy forecasting
González Ordiano, J. Á.; Remo Appino, R.; Faulwasser, T.; Hagenmeyer, V.; Mikut, R.
2018. International Symposium on Forecasting (ISF 2018), Boulder, CO, June 16-20, 2018

Principal flow patterns across renewable electricity networks
Hofmann, F.; Schäfer, M.; Brown, T.; Hörsch, J.; Schramm, S.; Greiner, M.
2018. epl, 124 (1), Article No.18005. doi:10.1209/0295-5075/124/18005

Ausblick und Schlussbemerkung
Weissenbach, K.; Föll, J.
2018. UIS BW, Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase II 2016/18. Hrsg.: K. Weissenbach, 105–108, KIT Scientific Publishing. doi:10.5445/IR/1000086932

Luftmessdaten. Komponenten und Dienste für die Verarbeitung und Präsentation von Messdaten am Beispiel des Webauftritts Luft
Schlachter, T.; Braun, E.; Schmitt, C.; Schillinger, W.; Lutz-Holzhauer, C.; Nadberezny, D.; Müller, H.; Grodt, D.; Koch, L.
2018. UIS BW, Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase II 2016/18. . Hrsg.: K. Weissenbach, 91–104, KIT Scientific Publishing. doi:10.5445/IR/1000086930

LUPO Landesumweltportale als modularisierte, verteilte Anwendung
Schlachter, T.; Greceanu, C.; Grieß, C.; Schmitt, C.; Schillinger, W.; Tauber, M.; Hänig, K.; Koch, L.; Niemeier, R.
2018. UIS BW, Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase II 2016/18. Hrsg.: K. Weissenbach, 51–61, KIT Scientific Publishing. doi:10.5445/IR/1000086928

Eine neue Methode zur kamerabasierten Analyse von Mehrstoffbrennern in industriellen Verbrennungsprozessen. Dissertation
Vogelbacher, M.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000086871

Effect of process parameters on dimensional accuracy of down-facing surfaces in selective laser melting of TI6AL4V
Charles, A. P.; Elkaseer, A.; Mueller, T.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2018. Advancing Precision in Additive Manufacturing : ASPE and euspen Summer Topical Meeting (2018), Berkeley, CA, USA, 22.–25. Juni 2018

Effect of process parameters on dimensional accuracy of down-facing surfaces in selective laser melting of TI6AL4V
Charles, A. P.; Elkaseer, A.; Mueller, T.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2018. Advancing Precision in Additive Manufacturing : 2018 ASPE and euspen Summer Topical Meeting, Berkeley, CA, Jube 22-25, 2018, ASPE

Precision additive metal manufacturing
Witvrouw, A.; Metelkova, J.; Ranjan, R.; Bayat, M.; De Baere, D.; Moshiri, M.; Tosello, G.; Solheid, J.; Charles, A. P.; Scholz, S.; Baier, M.; Carmignato, S.; Stavroulakis, P.; Shaheen, A.; Thijs, L.
2018. Advancing Precision in Additive Manufacturing : 2018 ASPE and euspen Summer Topical Meeting, Berkeley, CA, Jube 22-25, 2018, 18–23, ASPE

Precision additive metal manufacturing
Witvrouw, A.; Metelkova, J.; Ranjan, R.; Bayat, M.; De Baere, D.; Moshiri, M.; Tosello, G.; Solheid, J.; Charles, A. P.; Scholz, S.; Baier, M.; Carmignato, S.; Stavroulakis, P.; Shaheen, A.; Thijs, L.
2018. Advancing Precision in Additive Manufacturing : ASPE and euspen Summer Topical Meeting (2018), Berkeley, CA, USA, 22.–25. Juni 2018

The price of uncertainty: Chance-constrained OPF vs. in-hindsight OPF
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 20th Power Systems Computation Conference (PSCC 2018), Dublin, Irland, 11.–15. Juni 2018

Adaptation strategies for tracking constraints under plant-model mismatch
Singhal, M.; Faulwasser, T.; Bonvin, D.
2018. 10th IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM 2018), Shenyang, China, 25.–27. Juli 2018

Storage scheduling with stochastic uncertainties: Feasibility and cost of imbalances
Appino, R. R.; Ordiano, J. A. G.; Mikut, R.; Hagenmeyer, V.; Faulwasser, T.
2018. 20th Power Systems Computation Conference, PSCC 2018; University College DublinDublin; Ireland; 11 June 2018 through 15 June 2018, Art. Nr.: 8442529, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/PSCC.2018.8442529

Adaptation strategies for tracking constraints under plant-model mismatch
Singhal, M.; Faulwasser, T.; Bonvin, D.
2018. IFAC-PapersOnLine, 51 (18), 833–838. doi:10.1016/j.ifacol.2018.09.254

LUPO mobil Intelligente Umweltassistenten im Rahmen der LUPO-Kooperation für mobile Anwendungen
Koch, L.; Hänig, K.; Hibbeler, C.; Schlachter, T.; Schillinger, W.; Scherrer, M.; Becker, J.; Weissenbach, K.; Föll, J.
2018. UIS BW, Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase II 2016/18. . Hrsg.: K. Weissenbach, 41–50, KIT Scientific Publishing. doi:10.5445/IR/1000086707

A Study of the Factors Influencing Generated Surface Roughness of Downfacing Surfaces in Selective Laser Melting
Charles, A. P.; Elkaseer, A.; Müller, T.; Thijs, L.; Torge, M.; Hagenmeyer, V.; Scholz, S.
2018. World Congress on Micro and Nano Manufacturing, Portoroz, SLO, September 18-20, 2018, 327–330, Research Publishing. doi:10.3850/978-981-11-2728-1_57

A study of the factors influencing generated surface roughness of downfacing surfaces in selective laser melting
Charles, A. P.; Elkaseer, A.; Müller, T.; Thijs, L.; Torge, M.; Hagenmeyer, V.; Scholz, S.
2018. World Congress on Micro and Nano Manufacturing (WCMNM 2018 2018), Portorož, Slowenien, 17.–20. September 2018

Smart modular reconfigurable fully-digital manufacturing system with a knowledge-based framework: example of a fabrication of microfluidic chips
Scholz, S.; Elkaseer, A.; Müller, T.; Gengenbach, U.; Hagenmeyer, V.
2018. Proceedings of the 14th IEEE International Conference on Automation Science and Engineering (CASE), München, August 20-24, 2018, 1012–1017, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/COASE.2018.8560405

Smart modular reconfigurable fully-digital manufacturing system with a knowledge-based framework: example of a fabrication of microfluidic chips
Scholz, S.; Elkaseer, A.; Müller, T.; Gengenbach, U.; Hagenmeyer, V.
2018. 14th IEEE International Conference on Automation Science and Engineering (CASE 2018), München, Deutschland, 20.–24. August 2018

A generalized framework for chance-constrained optimal power flow
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. Sustainable energy, grids and networks, 16, 231–242. doi:10.1016/j.segan.2018.08.002

PyPSA-Eur: An open optimisation model of the European transmission system
Hörsch, J.; Hofmann, F.; Schlachtberger, D.; Brown, T.
2018. Energy strategy reviews, 22, 207–215. doi:10.1016/j.esr.2018.08.012

The impact of climate change on a cost-optimal highly renewable European electricity network
Schlott, M.; Kies, A.; Brown, T.; Schramm, S.; Greiner, M.
2018. Applied energy, 230, 1645–1659. doi:10.1016/j.apenergy.2018.09.084

Distributed Stochastic AC Optimal Power Flow based on Polynomial Chaos Expansion
Engelmann, A.; Mühlpfordt, T.; Jiang, Y.; Houska, B.; Faulwasser, T.
2018. 2018 Annual American Control Conference (ACC), Milwaukee, WI, USA, 27-29 June 2018, 6188–6193, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ACC.2018.8431090

Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints
Schlachtberger, D. P.; Brown, T.; Schäfer, M.; Schramm, S.; Greiner, M.
2018. Energy, 163, 100–114. doi:10.1016/j.energy.2018.08.070

Engineering Smart Market Platforms for Market Based Congestion Management
Huber, J.; Köppl, S.; Klempp, N.; Schutz, M.; Heilmann, E.
2018. 9th ACM International Conference on Future Energy Systems (e-Energy), Karlsruhe, Germany, 12 - 15 June 2018, 544–549, Association for Computing Machinery (ACM). doi:10.1145/3208903.3214349

Assessment of a multi-agent mixed-integer optimization algorithm for battery scheduling
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems (ACM e-Energy), Karlsruhe, June 12-15,2018

Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018
Hoffmann, F.; Hüllermeier, E.; Mikut, R. (Hrsg.)
2018. KIT Scientific Publishing. doi:10.5445/KSP/1000085935

Knowledge based communication in ophthalmic healthcare
Scherer, K. P.; Knöll, D.; Rieder, C.
2018. International Conference on Communication in Healthcare (ICCH), Porto, P, September 1-4, 2018

Knowledge based communication in ophthalmic healthcare
Scherer, K. P.; Knöll, D.; Rieder, C.
2018. International Conference on Communication in Healthcare (ICCH), Porto, P, September 1-4, 2018

Prüfung von openBIM Gebäudemodellen für die thermische Gebäudesimulation
Geiger, A.; Hagenmeyer, V.
2018. BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz : Tagungsband. Hrsg.: P. von Both, 578–585, Karlsruher Institut für Technologie (KIT)

Thermal Energy Simulation of Buildings based on the CityGML Energy Application Domain Extension
Geiger, A.; Benner, J.; Häfele, K.-H.; Hagenmeyer, V.
2018. BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz : Tagungsband. Hrsg.: P. von Both, 295–302, Karlsruher Institut für Technologie (KIT)

Building Information Modelling in der Konzeptionsphase der Planung
Geiger, A.; Hempel, S.; Benner, J.; Häfele, K.-H.
2018. BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz : Tagungsband. Hrsg.: P. von Both, 52–59, Karlsruher Institut für Technologie (KIT)

Distinct amino acid motifs carrying multiple positive charges regulate membrane targeting of dysferlin and MG53
Zhou, L.; Middel, V.; Reischl, M.; Strähle, U.; Nienhaus, G. U.
2018. PLoS one, 13 (8), e0202052. doi:10.1371/journal.pone.0202052

Smart Grid resilience - security of supply 2.0
Ottenburger, S. S.; Cakmak, H. K.; Jakob, W.; Blattmann, A.; Deines, E.; Trybushnyi, D.; Raskob, W.; Hagenmeyer, V.
2018. 7. Jahrestagung des KIT-Zentrums Energie (2018), Karlsruhe, Deutschland, 26. Juni 2018

Droplet based micro-bioreactors for single cell encapsulation
Grösche, M.; Sheshachala, S.; Stegmaier, J.; Mikut, R.; Niemeyer, C. M.
2018. Microfluidics 2018 : New Technologies and Applications in Biology, Biochemistry and Single-Cell Analysis, EMBL Conference, Heidelberg, July 15-17, 2018

Wnt/PCP controls spreading of Wnt/β-catenin signals by cytonemes in vertebrates
Mattes, B.; Dang, Y.; Greicius, G.; Kaufmann, L. T.; Prunsche, B.; Rosenbauer, J.; Stegmaier, J.; Mikut, R.; Özbek, S.; Nienhaus, G. U.; Schug, A.; Virshup, D. M.; Scholpp, S.
2018. eLife, 7, Article No. e36953. doi:10.7554/eLife.36953

Droplet microarray: Miniaturized platform for rapid formation and high-throughput screening of embryoid bodies
Tronser, T.; Demir, K.; Reischl, M.; Bastmeyer, M.; Levkin, P. A.
2018. Lab on a chip, 18 (15), 2257–2269. doi:10.1039/c8lc00450a

Preliminary Approaches for improving the Smart Grid Cyber Security
Reibelt, K.; El Bez, G.; Schneider, O.; Matthes, J.; Keller, H. B.
2018. Ideen und Innovationen für die Energie von morgen : Wissenschaftliche Beiträge des KIT zu den Jahrestagungen 2014, 2016 und 2017 des KIT-Zentrums Energie. Hrsg.: W. Breh, 115–122, KIT Scientific Publishing. doi:10.5445/IR/1000085346

Cortical representation of auricular muscles in humans: A robot-controlled TMS mapping and fMRI study
Meincke, J.; Hewitt, M.; Reischl, M.; Rupp, R.; Schmidt-Samoa, C.; Liebetanz, D.
2018. PLoS one, 13 (7), e0201277. doi:10.1371/journal.pone.0201277

Optimal power flow: An introduction to predictive, distributed and stochastic control challenges
Faulwasser, T.; Engelmann, A.; Mühlpfordt, T.; Hagenmeyer, V.
2018. Automatisierungstechnik, 66 (7), 573–589. doi:10.1515/auto-2018-0040

Investigation on refrigerant transport by capillary effect with fleeces in an evaporator for a high temperature cooling machine [Étude sur le transport de frigorigène par effet de capillarité avec des molletons dans un évaporateur pour une machine de refroidissement à haute température]
Holbein, B.; Schulenberg, T.
2018. International journal of refrigeration, 93, 18–28. doi:10.1016/j.ijrefrig.2018.05.036

Flow-based analysis of storage usage in a low-carbon European electricity scenario
Tranberg, B.; Schäfer, M.; Brown, T.; Hörsch, J.; Greiner, M.
2018

A Matlab-Based Simulation Tool For The Analysis Of Unsymmetrical Power System Transients In Large Networks
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2018. 32nd European Conference on Modelling and Simulation (ECMS 2018), Wilhelmshafen, May 22-25, 2018. Ed.: L. Nolle, 246–256, European Council for Modelling and Simulation. doi:10.7148/2018-0246

A new solution for the energy packet-based dispatching using power/signal dual modulation
De Din, E.; Hagenmeyer, V.; Monti, A.; Wehrle, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 361–365, Association for Computing Machinery (ACM). doi:10.1145/3208903.3208931

Numerical weather prediction data free solar power forecasting with neural networks
Sharma, V.; Cali, U.; Hagenmeyer, V.; Mikut, R.; Ordiano, J. Á. G.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 604–609, Association for Computing Machinery (ACM). doi:10.1145/3208903.3210279

SCiBER: A new public data set of municipal building consumption
Staudt, P.; Ludwig, N.; Huber, J.; Hagenmeyer, V.; Weinhardt, C.
2018. 9th ACM International Conference on Future Energy Systems (e-Energy), Karlsruhe, Germany, 12 - 15 June 2018, 618–621, Association for Computing Machinery (ACM). doi:10.1145/3208903.3210281

Demand response clustering — automatically finding optimal cluster hyper-parameter values
Waczowicz, S.; Ludwig, N.; Ordiano, J. Á. G.; Mikut, R.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 429–430, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212049

Assessment of unsupervised standard pattern recognition methods for industrial energy time series
Ludwig, N.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 434–435, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212051

Assessment of a multi-agent mixed-integer optimization algorithm for battery scheduling
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 453–455, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212058

A Matlab-Based Simulation Tool For The Analysis Of Unsymmetrical Power System Transients In Large Networks
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2018. 32nd European Conference on Modelling and Simulation (ECMS 2018), Wilhelmshaven, Deutschland, 22.–25. Mai 2018

Design and Development of Imaging Platforms for Phenotypic Characterization of Early Zebrafish. Dissertation
Marcato, D.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000085054

Third-generation in situ hybridization chain reaction: Multiplexed, quantitative, sensitive, versatile, robust
Choi, H. M. T.; Schwarzkopf, M.; Fornace, M. E.; Acharya, A.; Artavanis, G.; Stegmaier, J.; Cunha, A.; Pierce, N. A.
2018. Development <Cambridge>, 145 (12), Art. Nr.: dev165753. doi:10.1242/dev.165753

Innovative Downhole Tools for Cause Study and Main tenance in Deep Geothermal Energy
Holbein, B.; Dietze, S.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Ideen und Innovationen für die Energie von morgen : Wissenschaftliche Beiträge des KIT zu den Jahrestagungen 2014, 2016 und 2017 des KIT-Zentrums Energie. Ed.: W. Breh, 27–36, KIT Scientific Publishing. doi:10.5445/IR/1000084910

Das ungenutzte Potential der Geothermie als Grundlastversorger
Holbein, B.; Isele, J.; Spatafora, L.
2018. Ideen und Innovationen für die Energie von morgen : Wissenschaftliche Beiträge des KIT zu den Jahrestagungen 2014, 2016 und 2017 des KIT-Zentrums Energie. Hrsg.: W. Breh, 1–8, KIT Scientific Publishing. doi:10.5445/IR/1000084895

Characterisation of high-temperature jet break-up for ceramic sphere production
Leys, O.; Waibel, P.; Matthes, J.; Keller, H.; Knitter, R.
2018. The international journal of advanced manufacturing technology, 98 (9–12), 2311–2318. doi:10.1007/s00170-018-2378-y

Slit lamp microscopy on a cellular level using in vivo confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Kala Praksam, R.; Allgeier, S.; Reichert, K.-M.; Bartschat, A.; Stolz, H.; Guthoff, R. F.; Köhler, B.; Mikut, R.; Stachs, O.
2018. Investigative ophthalmology & visual science, 59 (9), 3439

A strain sensor based monitoring and damage detection system for a two-span beam bridge
Waibel, P.; Schneider, O.; Keller, H. B.; Müller, J.; Schneider, O.; Keller, S.
2018. Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges: Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2018), Melbourne, AUS, July 9-13, 2018. Ed.: N. Powers, 1627–1634, CRC Press

Replication of Overmolded Orthopedic Implants with a Functionalized Thin Layer of Biodegradable Polymer
Elkaseer, A.; Mueller, T.; Azcarate, S.; Philipp-Pichler, M.; Wilfinger, T.; Wittner, W.; Prantl, M.; Sampaio, D.; Hagenmeyer, V.; Scholz, S.
2018. Polymers, 10 (7), Article: 707. doi:10.3390/polym10070707

MPC-DICE: An open-source Matlab implementation of receding horizon solutions to DICE
Faulwasser, T.; Kellett, C. M.; Weller, S. R.
2018. IFAC-PapersOnLine, 51 (5), 120–125. doi:10.1016/j.ifacol.2018.06.221

Towards a FAIR-DICE IAM: Combining DICE and FAIR Models
Faulwasser, T.; Nydestedt, R.; Kellett, C. M.; Weller, S. R.
2018. IFAC-PapersOnLine, 51 (5), 126–131. doi:10.1016/j.ifacol.2018.06.222

UIS BW, Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase II 2016/18. (KIT Scientific Reports ; 7751)
Weissenbach, K.; Schillinger, W.; Barnikel, G.; Weidemann, R. (Hrsg.)
2018. KIT Scientific Publishing. doi:10.5445/KSP/1000084076

Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection
Stegmaier, J.; Spina, T. V.; Falcao, A. X.; Bartschat, A.; Mikut, R.; Meyerowitz, E.; Cunha, A.
2018. 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018; Washington; United States; 4 April 2018 through 7 April 2018, 382–386, IEEE Computer Society. doi:10.1109/ISBI.2018.8363598

SEGMENT3D: A web-based application for collaborative segmentation of 3D images used in the shoot apical meristem
Spina, T. V.; Stegmaier, J.; Falcao, A. X.; Meyerowitz, E.; Cunha, A.
2018. 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018; Washington; United States; 4 April 2018 through 7 April 2018, 391–395, IEEE Computer Society. doi:10.1109/ISBI.2018.8363600

A practical approach for teaching model driven software development: A pleading for the ’from scratch Approach’
Schmidt, A.
2018. 2018 IEEE Global Engineering Education Conference - Emerging Trends and Challenges of Engineering Education, EDUCON 2018, 2031–2036, IEEE Computer Society. doi:10.1109/EDUCON.2018.8363486

3D biodegradable scaffolds of polycaprolactone with silicate-containing hydroxyapatite microparticles for bone tissue engineering: high-resolution tomography and in vitro study
Shkarina, S.; Shkarin, R.; Weinhardt, V.; Melnik, E.; Vacun, G.; Kluger, P.; Loza, K.; Epple, M.; Ivlev, S. I.; Baumbach, T.; Surmeneva, M. A.; Surmenev, R. A.
2018. Scientific reports, 8 (1), Article: 8907. doi:10.1038/s41598-018-27097-7

3D-Printed Ultra-Broadband Highly Efficient Out-of-Plane Coupler for Photonic Integrated Circuits
Blaicher, M.; Billah, M. R.; Hoose, T.; Dietrich, P.-I.; Hofmann, A.; Randel, S.; Freude, W.; Koos, C.
2018. Conference on Lasers and Electro-Optics (CLEO) : Science and Innovations 2018, San Jose, California United States, 13–18 May 2018, Optica Publishing Group (OSA). doi:10.1364/CLEO_SI.2018.STh1A.1

Wide-field corneal subbasal nerve plexus mosaics in age-controlled healthy and type 2 diabetes populations
Lagali, N. S.; Allgeier, S.; Guimarães, P.; Badian, R. A.; Ruggeri, A.; Köhler, B.; Utheim, T. P.; Peebo, B.; Peterson, M.; Dahlin, L. B.; Rolandsson, O.
2018. Scientific data, 5, Art.Nr. 180075. doi:10.1038/sdata.2018.75

Zur Aggregation von Verteilnetzen für dynamische Übertragungsnetzsimulationen
Porada, S.; Bredtmann, C.; Moser, A.; Gröll, L.; Hagenmeyer, V.
2018. 15. Symposium Energieinnovation (EnInnov 2018), Graz, Österreich, 14.–16. Februar 2018

Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes
Wacker, I. U.; Veith, L.; Spomer, W.; Hofmann, A.; Thaler, M.; Hillmer, S.; Gengenbach, U.; Schröder, R. R.
2018. Journal of visualized experiments, 2018 (133), Art.Nr. e57059. doi:10.3791/57059

Camera-based Online Flame-Stability-Monitor for Load-Flexible Biomass Co-Combustion
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2018. Proceedings of the 3rd World Congress on Momentum, Heat and Mass Transfer (MHMT´18), Budapest, H, April 12-14, 2018, Paper CSP 106, Avestia Publishing. doi:10.11159/csp18.106

Camera-based Online Flame-Stability-Monitor for Load-Flexible Biomass Co-Combustion
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2018. 3rd World Congress on Momentum, Heat and Mass Transfer (MHMT 2018), Budapest, Ungarn, 12.–14. April 2018

EmbryoMiner : A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos
Schott, B.; Traub, M.; Schlagenhauf, C.; Takamiya, M.; Antritter, T.; Bartschat, A.; Löffler, K.; Blessing, D.; Otte, J. C.; Kobitski, A. Y.; Nienhaus, G. U.; Strähle, U.; Mikut, R.; Stegmaier, J.
2018. PLoS Computational Biology, 14 (4), e1006128. doi:10.1371/journal.pcbi.1006128

Dataset accompanying "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes"
Barth, L.; Hagenmeyer, V.; Ludwig, N.; Wagner, D.
2018. doi:10.5445/IR/1000082194

How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes
Barth, L.; Hagenmeyer, V.; Ludwig, N.; Wagner, D.
2018. 9th ACM International Conference on Future Energy Systems (ACM e-Energy), 12th - 15th June 2018, Karlsruhe, Germany, 43–62, Association for Computing Machinery (ACM). doi:10.1145/3208903.3208909

Zebrafish: A Pharmacogenetic Model for Anesthesia
Bedell, V.; Buglo, E.; Marcato, D.; Pylatiuk, C.; Mikut, R.; Stegmaier, J.; Scudder, W.; Wray, M.; Züchner, S.; Strähle, U.; Peravali, R.; Dallman, J. E.
2018. Methods in enzymology, 602, 189–209. doi:10.1016/bs.mie.2018.02.004

Optimal Power Flow Subject to Non-Gaussian Stochastic Uncertainties: An L²-based Approach
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. 89. Jahrestagung der Gesellschaft für angewandte Mathematik und Mechanik (GAMM 2018), München, Deutschland, 19.–23. März 2018

Approaches to a Practical Implementation of Industry 4.0
Elkaseer, A.; Salama, M.; Hazem, A.; Scholz, S.
2018. ACHI 2018 : 11th International Conference on Advances in Computer-Human Interactions, Roma, I, March 25-29, 2018

Approaches to a Practical Implementation of Industry 4.0
Elkaseer, A.; Salama, M.; Hazem, A.; Scholz, S.
2018. ACHI 2018 : 11th International Conference on Advances in Computer-Human Interactions, Roma, I, March 25-29, 2018. Ed.: B. Gersbeck-Schierholz, 141–146, International Academy, Research, and Industry Association (IARIA)

Kontextsensitive Vorschläge für eine semantische Suchmaschine
Schmidt, A.
2018. Forschung aktuell, 2018, 64–66

Data Science using the Shell
Schmidt, A.; Scholz, S.
2018. 20th International Conference on Enterprise Information Systems (ICEIS 2018), Funchal, Portugal, 21.–24. März 2018

Generation of Knowledge with Self-Learning Methods for Ophthalmic Data
Scherer, K.-P.; Knöll, D.; Rieder, C.
2018. 20th International Conference on Computer and Information Engineering (ICCIE 2018), Praha, CZ, March 22-23, 2018. Proceedings, 1977

Generation of Knowledge with Self-Learning Methods for Ophthalmic Data
Scherer, K.-P.; Knöll, D.; Rieder, C.
2018. 20th International Conference on Computer and Information Engineering (ICCIE 2018), Prag, Tschechien, 22.–23. März 2018

Enhanced Droplet Control for the Fabrication of Ceramic Breeder Pebbles
Leys, O.; Haas, M.; Waibel, P.; Matthes, J.; Knitter, R.
2018. 30th International Symposium on Fusion Technology (SOFT 2018), Giardini-Naxos, Italien, 16.–21. September 2018

Maschinelles Lernen für das Energiesystem: Gegenwart und Zukunft
Mikut, R.
2018. Tagungsband Workshop 2018 ASIM/GI-Fachgruppen, Hochschule Heilbronn, 8.-9.März 2018. Hrsg.: T. Loose, 137–142, ARGESIM Verlag

Data-driven Design of an Inkjet-Printed Electronic Circuit
Koker, L.; Ungerer, M.; Mikolajek, M.; Neuper, F.; Kühner, T.; Gengenbach, U.
2018. Internationale Fachmesse und Kongress für gedruckte Elektronik (LOPEC 2018), München, 13.-15.März 2018

Hydrogen and Fuel Cells – Technical Safety for general use
Keller, H. B.; Pilz, W. D.; Schulz-Forberg, B.; Langenbac, C.
2018. European Hydrogen Energy Conference, Malaga, E, March 14-16, 2018

Recent Progress on Distributed and Stochastic Optimization for Power Systems
Faulwasser, T.
2018. Institut für Regelungstechnik, Fakultät für Elektrotechnik, Universität Kiel, 12.Februar 2018

Stochastic and Distributed Optimization for Power Systems
Faulwasser, T.
2018. Department of Electrical Engineering, Imperial College London, GB, 7.März 2017

IT-Sicherheit für die vernetzten cyber-physikalischen Komponenten zukünftiger Energiesysteme
Reibelt, K.; El Bez, G.; Schneider, O.; Matthes, J.; Keller, H. B.
2018. 82. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen, Fachverband Quantenoptik und Photonik (SAMOP 2018), Erlangen, Deutschland, 4.–9. März 2018

Hybrid integration of silicon photonics circuits and InP lasers by photonic wire bonding
Billah, M. R.; Blaicher, M.; Hoose, T.; Dietrich, P.-I.; Marin-Palomo, P.; Lindenmann, N.; Nesic, A.; Hofmann, A.; Troppenz, U.; Moehrle, M.; Randel, S.; Freude, W.; Koos, C.
2018

Optimaler Lastfluss unter nicht-Gauss´schen Unsicherheiten – ein L2 Problem
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. 12. Elgersburg Workshop (2018), Ilmenau, Deutschland, 26. Februar–1. März 2018

Concept and benchmark results for Big Data energy forecasting based on Apache Spark
González Ordiano, J. Á.; Bartschat, A.; Ludwig, N.; Braun, E.; Waczowicz, S.; Renkamp, N.; Peter, N.; Düpmeier, C.; Mikut, R.; Hagenmeyer, V.
2018. Journal of Big Data, 5 (1), Art.Nr. 11. doi:10.1186/s40537-018-0119-6

Konzept zur datengetriebenen Analyse und Modellierung des preisbeeinflussten Verbrauchsverhaltens. Dissertation
Waczowicz, S.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000081003

An extendable and scalable simulation tool for the analysis of power system dynamics in large and complex networks
Kyesswa, M.; Cacmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

Considering Forecasting Uncertainties in Scheduling of Energy Systems
Appino, R.; Ordanio, J.; Mikut, R.; Hagenmeyer, V.; Faulwaser, T.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

Electric discharge machining of titanium and its alloys : review
Abu Qudeiri, J. E.; Mourad, A.-H. I.; Ziout, A.; Abidi, M. H.; Elkaseer, A.
2018. The international journal of advanced manufacturing technology, 96 (1-4), 1319–1339. doi:10.1007/s00170-018-1574-0

Distributed Non-Convex Optimization in Power Systems
Faulwasser, T.; Mühlpfordt, T.; Engelmann, A.; Jiang, Y.; Houska, B.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

Reaching constant evaluation singularities
Schneider, O.
2018. FOSDEM 2018, Bruxelles, B, February 3-4, 2018

Optimal Power Flow with non-Gaussian Uncertainties
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

Eine neue Methode zum robusten Entwurf von Regressionsmodellen bei beschränkter Rohdatenqualität. Dissertation
Doneit, W.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000080577

Sachstand und Beispiele nachhaltiger Digitalisierung im Umweltbereich
Schlachter, T.
2018. Charta-Workshop ’Digitalisierung und Nachhaltigkeit’, Stuttgart, 30.Januar 2018

Rotor angle versus voltage instability in the third-order model
Faulwasser, T.; Sharafutdinov, K.; Matthiae, M.; Witthaut, D.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

Rigorous Bounds For Stability And Instability In The Third- and Fourth-Order Model
Faulwasser, T.; Jorjäo, R.; Sharafutdinov, K.; Matthiae, M.; Witthaut, D.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

Mixed-Integer vs. Real-Valved Formulations of Distributed Scheduling of Energy Systems
Murray, A.; Hagenmeyer, V.; Faulwasser, T.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Deutschland, 28.–31. Januar 2018

Robust label-free biosensing using microdisk laser arrays with on-chip references
Wondimu, S. F.; Hippler, M.; Hussal, C.; Hofmann, A.; Krämmer, S.; Lahann, J.; Kalt, H.; Freude, W.; Koos, C.
2018. Optics express, 26 (3), 3161–3173. doi:10.1364/OE.26.003161

Quantitative Considerations about the Semantic Relationship of Entities in a Document Corpus
Schmidt, A.; Scholz, S.
2018. Proceedings of the 51st Hawaii International Conference on System Sciences, Hilton Waikoloa Village, Hawaii, January 2-6, 2018, 933–942

Mobile Sensor System AGaMon for Breath Control: Numerical Signal Analysis of Ternary Gas Mixtures and First Field Tests
Seifert, R.; Conrad, T.; Peter, J.; Keller, H. B.
2018. Sensors & transducers, 219 (1), 9–16

Economic Nonlinear Model Predictive Control
Faulwasser, T.; Grüne, L.; Müller, M. A.
2018. Foundations and trends in systems and control, 5 (1), 224–409. doi:10.1561/2600000014

Abrasive jet drilling of glass sheets: Effect and optimisation of process parameters on kerf taper
Nassef, A.; Elkaseer, A.; Abdelnasser, E. S.; Negm, M.; Qudeiri, J. A.
2018. Advances in mechanical engineering, 10 (1), 1–10. doi:10.1177/1687814017748435

Quality management and improvement for geothermal energy projects using the platform-based tool development technology − ZWERG
Holbein, B.; Dietze, S.; Hurst, F.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Geothermics, 71, 320–330. doi:10.1016/j.geothermics.2017.10.010

Optimal Control - Applications and Methods. Special Issue - MPC for Energy Systems: Economic and Distributed Approaches. Vol.39 Issue 1
Faulwasser, T. (Hrsg.)
2018. doi:10.1002/oca.2406

Technical Safety – An Attribute of Quality : An Interdisciplinary Approach and Guideline
Keller, H.; Pilz, W.-D.; Schulz-Forberg, B.; Langenbach, C.
2018. Springer. doi:10.1007/978-3-319-68625-7

Fully Automated Pipetting Sorting System for Different Morphological Phenotypes of Zebrafish Embryos
Breitwieser, H.; Dickmeis, T.; Vogt, M.; Ferg, M.; Pylatiuk, C.
2018. SLAS TECHNOLOGY: Translating Life Sciences Innovation, 23 (2), 128–133. doi:10.1177/2472630317745780

Nanopartikel: alles ganz unbedenklich?
Nau, K.; Steinbach, C.; Krug, H.; Kühnel, D.; Bohmer, N.
2018. Die Furche, (04.01.2018)

The corneal subbasal nerve plexus and thickness of the retinal layers in pediatric type 1 diabetes and matched controls
Götze, A.; Keyserlingk, S. von; Peschel, S.; Jacoby, U.; Schreiver, C.; Köhler, B.; Allgeier, S.; Winter, K.; Röhlig, M.; Jünemann, A.; Guthoff, R.; Stachs, O.; Fischer, D.-C.
2018. Scientific reports, 8 (1), Art.Nr. 14. doi:10.1038/s41598-017-18284-z

Comments on Truncation Errors for Polynomial Chaos Expansions
Mühlpfordt, T.; Findeisen, R.; Hagenmeyer, V.; Faulwasser, T.
2018. IEEE Control Systems Letters, 2 (1), 169–174. doi:10.1109/LCSYS.2017.2778138

Identification and control of the waelz process using infrared image processing
Matthes, J.; Waibel, P.; Keller, H. B.; Gröll, L.
2018. Informatics in Control, Automation and Robotics : 13th International Conference, ICINCO 2016 Lisbon, Portugal, 29th - 31st July 2016. Ed.: K. Madani, 323–341, Springer. doi:10.1007/978-3-319-55011-4_16

Charakterisierung der Fahrbahnbeschaffenheit durch Data Mining von gemessenen kinematischen Fahrzeuggrößen [Characterization of road states using data mining based on kinematic vehicle sensors]
Masino, J.; Levasseur, G.; Frey, M.; Gauterin, F.; Mikut, R.; Reischl, M.
2017. Automatisierungstechnik, 65 (12), 867–877. doi:10.1515/auto-2017-0061

Reduced Corneal Nerve Fiber Density in Type 2 Diabetes by Wide-Area Mosaic Analysis
Lagali, N. S.; Allgeier, S.; Guimarães, P.; Badian, R. A.; Ruggeri, A.; Köhler, B.; Utheim, T. P.; Peebo, B.; Peterson, M.; Dahlin, L. B.; Rolandsson, O.
2017. Investigative ophthalmology & visual science, 58 (14), Art.Nr. 6318. doi:10.1167/iovs.17-22257

Jahresrückblick 2017
Bretthauer, G.
2017. Automatisierungstechnik, 65 (12), 805–807. doi:10.1515/auto-2017-0118

Prof. Dr. Franz Mesch: Glückwunsch zum 85sten Geburtstag
Beyerer, J.; Bretthauer, G.
2017. Automatisierungstechnik, 65 (12), 888–889. doi:10.1515/auto-2017-0114

Energy forecasting tools and services
González Ordiano, J. Á.; Waczowicz, S.; Hagenmeyer, V.; Mikut, R.
2017. Wiley interdisciplinary reviews / Data mining and knowledge discovery, 8 (2), Art.Nr. e1235. doi:10.1002/widm.1235

NMPC with economic objectives on target manifolds
Duijkeren, N. van; Faulwasser, T.; Pipeleers, G.
2017. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 12–15 December 2017, 2519–2524, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC.2017.8264023

Solving optimal power flow with non-Gaussian uncertainties via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Roald, L.; Hagenmeyer, V.
2017. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 12–15 December 2017, 4490–4496, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC.2017.8264321

An objective comparison of cell-tracking algorithms
Ulman, V.; Maška, M.; Magnusson, K. E. G.; Ronneberger, O.; Haubold, C.; Harder, N.; Matula, P.; Matula, P.; Svoboda, D.; Radojevic, M.; Smal, I.; Rohr, K.; Jaldén, J.; Blau, H. M.; Dzyubachyk, O.; Lelieveldt, B.; Xiao, P.; Li, Y.; Cho, S.-Y.; Dufour, A. C.; Olivo-Marin, J.-C.; Reyes-Aldasoro, C. C.; Solis-Lemus, J. A.; Bensch, R.; Brox, T.; Stegmaier, J.; Mikut, R.; Wolf, S.; Hamprecht, F. A.; Esteves, T.; Quelhas, P.; Demirel, Ö.; Malmström, L.; Jug, F.; Tomancak, P.; Meijering, E.; Muñoz-Barrutia, A.; Kozubek, M.; Ortiz-de-Solorzano, C.
2017. Nature methods, 14 (12), 1141–1152. doi:10.1038/nmeth.4473

A Matlab-Based Dynamic Simulation Module for Power System Transients Analysis in the eASiMOV Framework
Kyesswa, M.; Cakmak, H.; Kuhnapfel, U.; Hagenmeyer, V.
2017. A Matlab-Based Dynamic Simulation Module for Power System Transients Analysis in the eASiMOV Framework. 2017 UKSim-AMSS 11th European Modelling Symposium (EMS), Manchester, 20–21 November 2017, 157–162, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EMS.2017.36

Hybrid photonic multi-chip integration enabled by 3D nano-printing
Koos, C.; Freude, W.; Randel, S.; Billah, M.; Blaicher, M.; Hoose, T.; Dietrich, P. I.; Nesic, A.; Hofmann, A.
2017. 2017 IEEE Photonics Conference (IPC) Part II, Orlando, FL, October 1-5 October, 2017, 1–2, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PC2.2017.8283411

Graph-theoretic Model for Observability in Multi-carrier Energy Distribution Networks (MEDNs)
Hohmann, S.; Maaß, H.; Mieth, C.; Pfeifer, M.; Wagner, D.; Wegner, F.
2017, September 11. 3rd Scientific Storage and Cross-linked Infrastructures - Meeting (SCI 2017), Karlsruhe, Deutschland, 11.–12. September 2017

Detection and graphical visualization of relationships between entities in Wikipedia
Schmidt, A.
2017. 2017 Internet Technologies and Applications (ITA), Wrexham, 12–15 September 2017, 24–28, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITECHA.2017.8101905

Mosaicking the subbasal nerve plexus
Allgeier, S.; Reichert, K. M.; Stachs, O.; Köhler, B.
2017. Acta ophthalmologica, 95 (Suppl.), S259. doi:10.1111/j.1755-3768.2017.03122

Generator Model Extension for Higher Accuracy Simulation of Power System Transients in OpenModelica
Kyesswa, M.; Cakmak, H. K.; Kuhnapfel, U.; Hagenmeyer, V.
2017. 2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI), Corfu, 24–27 August 2017, 44–50, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCSI.2017.17

Dezentral und dennoch stabil - Helmholtz-Zentren entwickeln Steuerungsarchitektur für "Energiesystem 2050" - Campusreport am 20.06.2017
Fuchs, S.; Hagenmeyer, V.
2017. doi:10.5445/DIVA/2017-345

ZebrafishMiner: an open source software for interactive evaluation of domain-specific fluorescence in zebrafish
Reischl, M.; Bartschat, A.; Liebel, U.; Gehrig, J.; Müller, F.; Mikut, R.
2017. Current directions in biomedical engineering, 3 (2), 199–202. doi:10.1515/cdbme-2017-0042

Data-driven analysis of interactions between people with dementia and a tablet device
Doneit, W.; Lohse, J.; Glesing, K.; Simon, C.; Fischer, M.; Depner, A.; Kruse, A.; Franz, I.; Schultz, T.; Putze, F.; Schulze, T.; Engels, M. A.; Gaerte, P.; Bothe, D.; Ziegler, C.; Maucher, I.; Ricken, M.; Dimitrov, T.; Herzig, J.; Bernardin, K.; Gehrig, T.; Mikut, R.
2017. Current directions in biomedical engineering, 3 (2), 735–738. doi:10.1515/cdbme-2017-0155

Bivariate domination polynomial
Preen, J.; Murray, A.
2017

A generic web cache infrastructure for the provision of multifarious environmental data
Schlachter, T.; Braun, E.; Düpmeier, C.; Schmitt, C.; Schillinger, W.
2017. Environmental Software Systems - Computer Science for Environmental Protection, Proceedings of the 12th IFIP WG 5.11 International Symposium, ISESS 2017, Zadar, Croatia, 10th - 12th May 2017. Ed.: J. Hřebíček, 360–371, Springer. doi:10.1007/978-3-319-89935-0_30

3D Volume Visualization of Environmental Data in the Web
Braun, E.; Düpmeier, C.; Mirbach, S.; Lang, U.
2017. Environmental Software Systems - Computer Science for Environmental Protection, Proceedings of the 12th IFIP WG 5.11 International Symposium, ISESS 2017, Zadar, Croatia, 10th - 12th May 2017. Ed.: J. Hřebíček, 457–469, Springer. doi:10.1007/978-3-319-89935-0_38

A Generic Microservice Architecture for Environmental Data Management
Braun, E.; Schlachter, T.; Düpmeier, C.; Stucky, K.-U.; Suess, W.
2017. Environmental Software Systems : Computer Science for Environmental Protection, Proceedings of the 12th IFIP WG 5.11 International Symposium, ISESS 2017, Zadar, Croatia, 10th - 12th May 2017. Ed.: J. Hřebíček, 383–394, Springer. doi:10.1007/978-3-319-89935-0_32

Neues Konzept zur automatisierten Handhabung von Ultramikrotomschnitten. Dissertation
Spomer, W.
2017. Karlsruher Institut für Technologie (KIT)

Concept Based Search in the Field of Nanotoxicology
Marquardt, C.; Schmidt, A.; Nau. K.
2017. Nanosafety 2017, Saarbrücken, October 11-13, 2017

DaNa2.0 – Knowledge Base Nanomaterials: Quality-approved and reliable information on synthetically engineered nanomaterials
Marquardt, C.; Nau, K.; Krug, H. F.; Bohmer, N.; Kuehnel, D.; Reithel, S.; Paul, F.; Steinbach, C.
2017. Columbia-U.S. Workshop on Nanoechnology in Characterization, Metrology, Manufacturing and Safety, Bogota, CO, February 14-15, 2017

Agent-based model for distributed optimization of microgrids operation
Appino, R. R.; Listmann, K. D.; Chicco, G.
2017. ISGT Europe 2017 - Enabling the Transition to a More Electric World : IEEE International Conference on Innovative Smart Grid Technologies, Torino, I, September 26-29, 2017, Institute of Electrical and Electronics Engineers (IEEE)

Sicherheit softwarebasierter Anwendungen. Status und Perspektive Dezember 2017
Keller, H., B.
2017. 4. Berliner Gesamtkonferenz der Sicherheitsinstitutionen, Berlin, 1.Dezember 2017

Software und Sicherheit. Safety - Security und IT-Security
Keller, H. B.
2017. Sicherheit in einer digital vernetzen Welt : HerbstForum des Clusters Industrie 4.0, Berlin, 26.Oktober 2017

Towards Distributed Mixed-Integer Optimization
Murray, A.
2017. ShanghaiTech University, China, November 28, 2017

A Method for the Analysis of the Nano- and Micromorphology of Printed Structures on Flexible Polymer Films
Ungerer, M.; Spomer, W.; Wacker, I.; Schröder, R.; Gengenbach, U.
2017. International journal on advances in intelligent systems, 10 (3-4), 383–392

A new framework for interactive knowledge discovery in large-scale trajectory data of zebrafish embryos
Schott, B.; Traub, M.; Antritter, T.; Schlagenhauf, C.; Takamiya, M.; Barschat, A.; Otte, J. C.; Kobitski, A.; Nienhaus, G. U.; Sanders, P.; Strähle, U.; Mikut, R.; Stegmaier, J.
2017. 10th European Zebrafish Meeting, Budapest, H, July 3-7, 2017

Interactive knowledge discovery in large-scale trajectory data of zebrafish embryos
Schott, B.; Traub, M.; Antritter, T.; Schlagenhauf, C.; Takamiya, M.; Barschat, A.; Otte, J. C.; Kobitski, A.; Nienhaus, G. U.; Sanders, P.; Strähle, U.; Mikut, R.; Stegmaier, J.
2017. Seeing is Believing - Imaging the Processes of Life, EMBO/EMBL Symposium, Heidelberg, October 4-7, 2017

NMPC with economic objectives on target manifolds
Duijkeren, N. van; Faulwasser, T.; Pipeleers, G.; Swevers, J.
2017. 56th IEEE Conference on Decision and Control, Melbourne, AUS, December 12-15, 2017

Analysis of Process Parameters in the Production of Orthopedic Implants Combining Metal Injection Moulding and Polymer over Moulding
Scholz, S.; Sampaio, D.; Müller, T.; Philip-Picher, M.; Wilfinger, T.; Wittner, W.; Prantl, M.
2017. WCMNM 2017: 2017 World Congress on Micro and Nano Manufacturing - A Joint Conference of ICOMM/4M/IFMM, Kaohsiung, Taiwan, March 27-30, 2017

The KALOS Process: Increased Yield and Droplet Size Control with an Induced Jet Break-Up
Leys, O.; Waibel, P.; Knitter, R.
2017. 19th International Workshop on Ceramic Breeder Blanket Interactions (CBBI-19), Kyoto, J, September 21-23, 2017

The rumen microbiome : an underexplored resource for novel antimicrobial discovery
Oyama, L. B.; Girdwood, S. E.; Cookson, A. R.; Fernandez-Fuentes, N.; Privé, F.; Vallin, H. E.; Wilkinson, T. J.; Golyshin, P. N.; Golyshina, O. V.; Mikut, R.; Hilpert, K.; Richards, J.; Wootton, M.; Edwards, J. E.; Maresca, M.; Perrier, J.; Lundy, F. T.; Luo, Y.; Zhou, M.; Hess, M.; Mantovani, H. C.; Creevey, C. J.; Huws, S. A.
2017. npj Biofilms and Microbiomes, 3 (1), Art.Nr. 33. doi:10.1038/s41522-017-0042-1

Distributed and Stochastic Optimization for Power Systems
Faulwasser, T.
2017. Faculty of Electrical Engineering, Melbourne University, AUS, December 1, 2017

Stochastic Discount Rates in Optimal Control a Case Study in Climate-Economy Assessment
Faulwasser, T.
2017. 56th IEEE Conference on Decision and Control, Melbourne, AUS, December 12-15, 2017

Simulations- und Regelungsmodell eines Fallfilmverdampfers
Gröll, L.; Schwär, C.
2017. Workshop des GMA-Fachausschusses 1.30 ’Modellbildung, Identifikation und Simulation in der Automatisierungstechnik’, Salzburg, A, 20.-22.September 2017

Modelling and control of a falling film evaporator as a mea nto enhance process efficiency
Gröll, L.
2017. Workshop, Universität Sankt Petersburg, Russia, 28.-30.Juni 2017

From Schemantic Design Phase to Design Development Phase with openBIM
Geiger, A.; Häfele, K. H.
2017. BIM World, München, November 28-29, 2017

Proceedings of the Ninth International Conference on Advances in Databases, Knowledge, and Data Application
Schmidt, A.; Laux, F.; Hristovski, D.; Ohnishi, S.- ichi (Hrsg.)
2017. International Academy, Research, and Industry Association (IARIA)

Intelligente Sensorsysteme der Zukunft
Seifert, R.; Keller, H.
2017. 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, Karlsruhe, 22.November 2017

Ergebnisse des Projekts AGaMon
Seifert, R.; Keller, H.; Conrad, T.; Peter, J.
2017. VDI/VDE Fachtagung Multigassensorik, Karlsruhe, 22.-23.November 2017

Das Projekt AgaMon: Ergebnisse 3-Stoff-Gemisch und Feldversuch
Seifert, R.; Keller, H.; Conrad, T.; Peter, J.
2017. VDI/VDE Fachtagung Multigassensorik, Karlsruhe, 22.-23.November 2017

Lastprognosen (für Fernwärmenetze)
Mikut, R.; Hagenmeyer, V.; Rink, M.
2017. Workshop FPS, Karlsruhe, 26.Oktober 2017

Data Analytics: Methoden, Erwartungen und die Realität
Mikut, R.
2017. EnSoC Netzwerkseminar ’Data-Analytics – Lösungen für die Energiewirtschaft’, Karlsruhe, 19. Oktober 2017

NIR-Sensorik zur Qualitätsbestimmung neuer Zemente
Matthes, J.; Lutz, C.; Keller, H. B.; Waibel, P.; Stemmermann, P.; Precht, U.
2017. 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, Karlsruhe, 22.November 2017

Tagungsbericht 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, 22.November 2017, KIT-IAI (CN)
Keller, H.; Seifert, R. (Hrsg.)
2017

Atemluftüberwachung mit AGaMon und innovativen Kalibrier- und Auswerteverfahren
Seifert, R.; Conrad, T.; Peter, J.; Keller, H.
2017. 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, Karlsruhe, 22.November 2017. Tagungsbericht. Hrsg.: H. Keller, 66–67

Atemluftüberwachung mit AGaMon und innovativen Kalibrier- und Auswerteverfahren
Seifert, R.; Conrad, T.; Peter, J.; Keller, H.
2017. 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, Karlsruhe, 22.November 2017

Inelligente Sensorsysteme der Zukunft. Der Verein HybridSensorNet e.V
Keller, H. B.; Seifert, R.
2017. 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, Karlsruhe, 22.November 2017

A new concept of a generic co-simulation platform for energy systems modeling
Liu, J.; Düpmeier, C.; Hagenmeyer, V.
2017. Future Technologies Conference (FTC), Vancouver, CDN, November 29-30, 2017

A generic microservice architecture for environmental data management
Braun, E.; Schlachter, T.; Düpmeier, C.; Stucky, K.-U.; Suess, W.
2017. International Symposium on Environmental Software Systems (ISESS 2017), Zadar, HR, May 10-12, 2017

3D volume visualization of environmental data in the web
Braun, E.; Düpmeier, C.; Mirbach, S.; Lang, U.
2017. International Symposium on Environmental Software Systems (ISESS 2017), Zadar, HR, May 10-12, 2017

Breath control in respiratory air and simultaneous analysis of sensor data
Seifert, R.; Conrad, T.; Peter, J.; Keller, H.
2017. 12th Asian Conference on Chemical Sensors (ACCS 2017), Hanoi, VN, November 12-15, 2017

A generic web cache infrastructure for the provision of multifarious environmental data
Schlachter, T.; Braun, E.; Düpmeier, C.; Schmitt, C.; Schillinger, W.
2017. International Symposium on Environmental Software Systems (ISESS 2017), Zadar, HR, May 10-12, 2017

Comments on Truncation Errors for Polynomial Chaos Expansions
Mühlpfordt, T.; Findeisen, R.; Hagenmeyer, V.; Faulwasser, T.
2017, Januar. 56th IEEE Conference on Decision and Control, Melbourne, AUS, December 12-15, 2017

A Matlab-based dynamic simulation module for power system transients analysis in the eAsiMOV framework
Kyesswa, M.; Cakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2017. 11th European Modelling Symposum on Mathematical Modelling and Computer Simulation (EMS 2017), Manchester, GB, November 20-22, 2017

Quantification of inflammatory cells in the corneal sub-basal layer in type 2 diabetes by in vivo confocal microscopy (IVCM)
Badian, R. A.; Utheim, T.; Allgeier, S.; Liu, X.; Köhler, B.; Lagali, N. S.
2017. Investigative ophthalmology & visual science, 58 (8), 3535

3D+T terabyte image analysis
Stegmaier, J.; Arz, J.; Mikut, R.; Sanders, P.
2017. DGF Schwerpunktprogramm "Algorithms for Big Data". Annual Meeting of the SPP 1736, TU Kaiserlautern, 20.10.2017

Distributed AC optimal power flow using ALADIN
Engelmann, A.; Mühlpfordt, T.; Jiang, Y.; Houska, B.; Faulwasser, T.
2017. GMA-Fachausschuss 1-50 "Grundlagen vernetzter Systeme", Ulm, 30.05.2017

New downhole tool designs for EGS based on platform development approach
Holbein, B.; Isele, J.; Spatafora, L.
2017. Geothermal Resources Council Annual Meeting and GEA GeoExpo+, Salt Lake City, Utah, October 1-4, 2017, 2453–2469, Geothermal Research Council

Progress report: GeoKam - a modularly designed real-time video inspection system
Spatafora, L.; Holbein, B.; Isele, J.
2017. Geothermal Resources Council Annual Meeting and GEA GeoExpo+, Salt Lake City, Utah, October 1-4, 2017, 2857–2864, Geothermal Resources Council

Prognostic Value of the New Prostate Cancer International Society of Urological Pathology Grade Groups
Offermann, A.; Hohensteiner, S.; Kuempers, C.; Ribbat-Idel, J.; Schneider, F.; Becker, F.; Hupe, M. C.; Duensing, S.; Merseburger, A. S.; Kirfel, J.; Reischl, M.; Lubczyk, V.; Kuefer, R.; Perner, S.
2017. Frontiers in medicine, 4, Article no 157. doi:10.3389/fmed.2017.00157

AGaMon - a mobile sensor system for breath control
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2017. AMA Conferences 2017 with SENSOR and IRS², Nürnberg, 30.Mai - 1. Juni 2017. Hrsg.: R. Lerch, 723–726, AMA Service. doi:10.5162/sensor2017/P5.8

Konzept einer Big Data Infrastruktur für zukünftige Leitstellensysteme
Braun, E.; Süß, W.; Stucky, U.; Düpmeyer, C.
2017. 2nd BMBF Big Data All Hands Meeting and 2nd Smart Data Innovation Conference, Karlsruher Institut für Technologie (Campus Süd), Deutschland, 11. - 12. Oktober 2017

Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines
Stegmaier, J.; Mikut, R.
2017. PLoS one, 12 (11), Art.Nr.: e0187535. doi:10.1371/journal.pone.0187535

Augmentations of the Bag of Visual Words Approach for Real-Time Fuzzy and Partial Image Classification
Bartschat, A.; Stegmaier, J.; Allgeier, S.; Reichert, K.-M.; Bohn, S.; Stachs, O.; Köhler, B.; Mikut, R.
2017. Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. Hrsg.: F. Hoffmann, 227–242, KIT Scientific Publishing

Mining Flexibility Patterns in Energy Time - Series from Industrial Processes
Ludwig, N.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2017. Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. Hrsg.: F. Hoffmann, 13–32, KIT Scientific Publishing

Towards distributed mixed-integer scheduling of energy storage systems
Murray, A.; Hagenmeyer, V.; Faulwasser, T.
2017. D-A-CH+ Energieinformatik 2017. The 6th D-A-CH+ Conference on Energy Informatics, Lugano, CH, October 5-6 2017

Towards ontology-based network model management and data integration for smart grids
Schumilin, A.; Stucky, K.-U.; Sinn, F.; Hagenmeyer, V.
2017. 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), Pittsburgh, PA, 21.04.2017, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MSCPES.2017.8064530

Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern durch bildbasierte Verfahren
Vogelbacher, M.; Keller, S.; Waibel, P.; Matthes, J.; Keller, H. B.
2017. 28. Deutscher Flammentag (2017), Darmstadt, Deutschland, 6.–7. September 2017

Distributed Modifier Adaptation using a Coordinator and Measured Interconnection Variables
Milosavljevic, P.; Schneider, R.; Faulwasser, T.; Bonvin, D.
2017. IFAC-PapersOnLine, 50 (1), 5743–5748. doi:10.1016/j.ifacol.2017.08.1135

Distributed modifier adaptation using a coordinator and measured interconnection variables
Milosavljevic, P.; Schneider, R.; Faulwasser, T.; Bonvin, D.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017

Distributed AC Optimal Power Flow using ALADIN
Engelmann, A.; Mühlpfordt, T.; Jiang, Y.; Houska, B.; Faulwasser, T.
2017. IFAC-PapersOnLine, 50 (1), 5536–5541. doi:10.1016/j.ifacol.2017.08.1095

Distributed AC optimal power flow using ALADIN
Engelmann, A.; Mühlpfordt, T.; Jiang, Y.; Houska, B.; Faulwasser, T.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017

Improved Directional Derivatives for Modifier-Adaptation Schemes
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2017. IFAC-PapersOnLine, 50 (1), 5718–5723. doi:10.1016/j.ifacol.2017.08.1124

Improved directional derivatives for modifier-adaptation schemes
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017

Predictive path following of mobile robots without terminal stabilizing constraints
Mehrez, M. W.; Worthmann, K.; Mann, G. K. I.; Gosine, R. G.; Faulwasser, T.
2017. IFAC-PapersOnLine, 50 (1), 9852–9857. doi:10.1016/j.ifacol.2017.08.907

Incipient actuator fault handling in nonlinear model predictive control
Knudsen, B. R.; Faulwasser, T.; Jones, C. N.; Foss, B.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017, 15922–15927, Elsevier. doi:10.1016/j.ifacol.2017.08.1743

Incipient actuator fault handling in nonlinear model predictive control
Knudsen, B. R.; Faulwasser, T.; Jones, C. N.; Foss, B.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017

Model predictive path-following control for airborne wind energy systems
Diwale, S.; Faulwasser, T.; Jones, C. N.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017, 13270–13275, Elsevier. doi:10.1016/j.ifacol.2017.08.1964

Model predictive path-following control for airborne wind energy systems
Diwale, S.; Faulwasser, T.; Jones, C. N.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017

Ein neues Konzept zur automatischen Erstellung von Mosaikbildern der Kornea für die Diagnose neuropathischer Erkrankungen. Dissertation
Allgeier, S. T.
2017. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000076325

Supporting the environmental risk assessment of nanomaterials with quality-approved information - the DaNa literature criteria checklist
Kühnel, D.; Reithel, S.; Nau, K.; Marquardt, C.; Krug, H. F.; Bohmer, N.; Paul, F.; Steinbach, C.
2017. Scientific Stakeholder Meeting on Nanomaterials in the Environment, Dessau, 10.-11.Oktober 2017

Optimale Lastflussprobleme - verteilte und stochastische Ansätze
Faulwasser, T.
2017. Tagung des GMA-Fachausschusses 1.40 ’Theoretische Verfahren der Regelungstechnik’, Anif, A, September 18-20, 2017

Generator model extension for higher accuracy simulation of power system transients in OpenModelica
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2017. 4th International Conference on Mathematics and Computers in Sciences and Industry (MCSI 2017), Corfu, GR, August 24-26, 2017

Rechnergesteuerte Fokusnachführung zur großflächigen Abbildung des subbasalen Nervenplexus als Biomarker für diabetische Neuropathie
Bohn, S.; Allgeier, S.; Bartschat. A.; Reichert, K. M.; Sperlich, K.; Stolz, H.; Guthoff, R.; Mikut, R.; Köhler, B.; Stachs, O.
2017. Der Ophthalmologe, (Suppl.2), S32

Rechnergesteuerte Fokusnachführung zur großflächigen Abbildung des subbasalen Nervenplexus als Biomarker für diabetische Neuropathie
Bohn, S.; Allgeier, S.; Bartschat. A.; Reichert, K. M.; Sperlich, K.; Stolz, H.; Guthoff, R.; Mikut, R.; Köhler, B.; Stachs, O.
2017. 115.DOG-Kongress, Berlin, 28.September - 1.Oktober 2017

Computer-controlled analysis of solid state nuclear track detectors
Köhler, B.; Reichert, K.-M.; Fesenbeck, I.; Naber, C.; Allgeier, S.
2017. Biomedizinische Technik, 62 (S1), S506

Computer-controlled analysis of solid state nuclear track detectors
Köhler, B.; Reichert, K.-M.; Fesenbeck, I.; Naber, C.; Allgeier, S.
2017. 51. Jahrestagung der Biomedizinischen Technik und Dreiländertagung der Medizinischen Physik (BMT 2017), Dresden, Deutschland, 10.–13. September 2017

Concepts for automated fast focal plane control in subbasal nerve plexus mosaicking to reliably quantify a biomarker for diabetic peripheral neuropathy
Bohn, S.; Allgeier, S.; Bartschat, A.; Guthoff, R.; Köhler, B.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stolz, H.; Stachs, O.
2017. Investigative ophthalmology & visual science, 58 (8), Art. Nr.: 1431

Implementation f an extended generator sybsystem in OpenModelica and comparative analysis with DIgSILENT PowerFactory
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2017. 6th D-A-CH+ Conference on Energy Informatics, Lugano, CH, October 5-6, 2017

Design of a body energy harvesting system for the upper extremity
Brunner, S.; Gerst, M.; Pylatiuk, C.
2017. 51. Jahrestagung der Biomedizinischen Technik und Dreiländertagung der Medizinischen Physik (BMT 2017), Dresden, Deutschland, 10.–13. September 2017

Design of a body energy harvesting system for the upper extremity
Brunner, S.; Gerst, M.; Pylatiuk, C.
2017. Current directions in biomedical engineering, 3 (2), 331–334. doi:10.1515/cdbme-2017-0067

APOSTL: Ein Konzept zum performanten Ontologielernen
Knöll, D.; Rieder, C.; Scherer, K. P.; Baumeister, J.; Furth, S.
2017. Lernen, Wissen, Daten, Analysen (LWDA 2017), Rostock, 11.-13.September 2017

Agent-based model for distributed optimization of microgrids operation
Appino, R. R.; Listmann, K. D.; Chicco, G.
2017. ISGT Europe 2017 - Enabling the Transition to a More Electric World : IEEE International Conference on Innovative Smart Grid Technologies, Torino, I, September 26-29, 2017

Progress report: GeoKam - a modularly designed real-time video inspection system
Spatafora, L.; Holbein, B.; Isele, J.
2017. Geothermal Resources Council Annual Meeting and GEA GeoExpo+, Salt Lake City, Utah, October 1-4, 2017

New downhole tool designs for EGS based on platform development approach
Holbein, B.; Isele, J.; Spatafora, L.
2017. Geothermal Resources Council Annual Meeting and GEA GeoExpo+, Salt Lake City, Utah, October 1-4, 2017

On solving probabilistic load flow for radial grids using polynomial chaos
Appino, R. R.; Muhlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. 2017 IEEE Manchester PowerTech, Manchester, GB, June 18-22, 2017, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2017.7981264

Mosaicking the subbasal nerve plexus
Allgeier, S.; Reichert, K. M.; Stachs, O.; Köhler, B.
2017. European Association for Vision and Eye Research (EVER) Congress 2017, Nice, F, September 27-30, 2017

Mobile sensor system AGaMon for breath control: Thermo-cyclic operation and numerical signal analysis of ternary gas mixtures
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2017. SENSORDEVICES 2017. The 8th International Conference on Sensor Device Technologies and Applications, Roma, I, September 10-14, 2017, 109–114, International Academy, Research, and Industry Association (IARIA)

Mobile sensor system AGaMon for breath control: Thermo-cyclic operation and numerical signal analysis of ternary gas mixtures
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2017. International Conference on Sensor Device Technologies and Applications (SENSORDEVICES 2017), Roma, I, September 10-14, 2017

Preliminary approaches to improve the smart Grid cyber security
Reibelt, K.; El-Bez, G.; Schneider, O.; Matthes, J.; Keller, H.
2017. 6. Jahrestagung des KIT-Zentrums Energie, 2. Juni 2017

Optimal power flow with non-Gaussian uncertainties
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. SCI Workshop, Karlsruhe, September 11-12, 2017

From sensors to users. Using microservices for the handling of measurement data
Schlachter, T.; Braun, E.; Düpmeier, C.; Müller, H.; Scherrer, M.
2017. From Science to Society : New Trends in Environmental Informatics. Ed. B. Otjacques, 203–213, Springer International Publishing. doi:10.1007/978-3-319-65687-8_18

A lighweight web components framework for accessing generic data services in environmental information systems
Braun, E.; Radkohl, A.; Schmitt, C.; Schlachter, T.; Düpmeier, C.
2017. From Science to Society : New Trends in Environmental Informatics. Ed. B. Otjacques, 191–201, Springer International Publishing. doi:10.1007/978-3-319-65687-8_17

A lighweight web components framework for accessing generic data services in environmental information systems
Braun, E.; Radkohl, A.; Schmitt, C.; Schlachter, T.; Düpmeier, C.
2017. 31st International Conference on Informatics for Environmental Protection (ENVIROINFO 2017), Luxembourg, L, September 13-15, 2017

From sensors to users. Using microservices for the handling of measurement data
Schlachter, T.; Braun, E.; Dpmeier, C.; Müller, H.; Scherrer, M.
2017. 31st International Conference on Informatics for Environmental Protection (ENVIROINFO 2017), Luxembourg, L, September 13-15, 2017

Towards climate-economy assessment with explicit consideration of stochastic discount rates
Faulwasser, T.; Kellett, C.; Grüne, L.; Semmler, W.; Weller, S.
2017. 1st IIASA Summer Workshop on Green Growth Modeling, Laxenburg, A, July 26, 2017

Integration von Rohrleitungsnetzen in eine BIM / GIS Umgebung
Geiger, A.; Ziel, F.
2017. 29.Forum Bauinformatik, Dresden, 6.-8.September 2017., 20–27

Integration von Rohrleitungsnetzen in eine BIM / GIS Umgebung
Geiger, A.; Ziel, F.
2017. 29.Forum Bauinformatik, Dresden, 6.-8.September 2017

Predictive path following of mobile robots without terminal stabilizing constraints
Mehrez, M. W.; Worthmann, K.; Mann, G. K. I.; Gosine, R. G.; Faulwasser, T.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017

Planen, Entscheiden und die Folgen. Modellprediktive Regelung
Worthmann, K.; Faulwasser, T.
2017. Sommerakademie der Studienstiftung des Deutschen Volkes, Neubeuern, 30.Juli - 12.August 2017

Beyond setpoint stabilization. Challenges for optimization-based control of energy storage
Faulwasser, T.
2017. Chalmers University of Technology, Göteborg, S, 4.September 2017

Reliability for Nanosafety Research - Considerations on the Basis of a Comprehensive Literature Review
Krug, H. F.; Nau, K.
2017. ChemBioEng reviews, 4 (6), 331–338. doi:10.1002/cben.201700013

Generating INSPIRE PLU data on base of the German national standard XPlanung
Benner, J.; Krause, K.-U.
2017. INSPIRE Conference 2017, Strasbourg, F, September 6-8, 2017

Additive manufacturing and relevant projects
Scholz, S.
2017. Universidade de Sao Paulo, Sao Paulo, BR, 26.Juli 2017

Digital manufacturing and industry 4.0
Scholz, S.
2017. Universidade Estadual Paulista, Sao Paulo, BR, 28.Juli 2017

Tunable refraction power by mutual rotation of helical lens parts
Sieber, I.; Martin, T.; Stiller, P.
2017. Current Developments in Lens Design and Optical Engineering XVIII, San Diego, CA, August 6-10, 2017. Ed.: R.B. Johnson, 103750L, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2269725

Tracking of Indels by DEcomposition is a Simple and Effective Method to Assess Efficiency of Guide RNAs in Zebrafish
Etard, C.; Joshi, S.; Stegmaier, J.; Mikut, R.; Strähle, U.
2017. Zebrafish, 14 (6), 586–588. doi:10.1089/zeb.2017.1454

An introduction into statistical computing with R
Schmidt, A.; Scholz, S. G.
2017. 7th International Conference on Internet Technologies and Applications, Wrexham, GB, September 12-15, 2017

NMPC with economic objectives on target manifolds
Duijkeren, N. van; Faulwasser, T.; Pipeleers, G.; Swevers, J.
2017. Optimization 2017, Lisboa, P, September 6-8, 2017

Concepts for automated fast focal plane control in subbasal nerve plexus mosaicking to reliably quantify a biomarker for diabetic peripheral neuropathy
Bohn, S.; Allgeier, S.; Bartschat, A.; Guthoff, R.; Köhler, B.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stolz, H.; Stachs, O.
2017. ARVO Annual Meeting, Baltimore, MD, May 7-11, 2017