Prof. Dr.  Veit Hagenmeyer

Prof. Dr. Veit Hagenmeyer

  • Karlsruher Institut für Technologie (KIT)
    Institut für Automation und angewandte Informatik (IAI)

    Hermann-von-Helmholtz-Platz 1
    76344 Eggenstein-Leopoldshafen

    Fax: +49 721 608 22602
    Gebäude-Nr.: 445 / 449 / 668

Publikationen


2021
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
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
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
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
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
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
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
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
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
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. European Geosciences Union General Assembly (EGU 2021), Online, 19.–30. April 2021
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, Article no: 100471. doi:10.1016/j.segan.2021.100471
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
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
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
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. 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. doi:10.1109/TSG.2021.3101831
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
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), Institute of Electrical and Electronics Engineers (IEEE). 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, 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
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
Energy Pulsation Reduction in Modular Multilevel Converters Using Optimized Current Trajectories.
Braeckle, 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
Towards Optimality Preserving Aggregation for Scheduling Distributed Energy Resources.
Appino, R. R.; Hagenmeyer, V.; Faulwasser, T.
2021. IEEE transactions on control of network systems. doi:10.1109/TCNS.2021.3070664
On Optimal Grid Partitioning for Distributed Optimization of Reactive Power Dispatch.
Murray, A.; Kyesswa, M.; Cakmak, 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
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
2020
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
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
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)
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
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
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
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
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
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
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
Transportmodelle für Flüssigkeitsfilme.
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2020. Automatisierungstechnik, 68 (8), 625–640. doi:10.1515/auto-2020-0016
Clustering Dataset.
Frysztacki, M.; Hörsch, J.; Hagenmeyer, V.; Brown, T. W.
2020. doi:10.5281/zenodo.3965781
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
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
PHIL Testing Experience at KIT: Experimental Validations of New Technologies.
Hubschneider, S.; Waczowicz, S.; Wiegel, F.; Karrari, S.; de Sousa, W. T. B.; 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
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
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
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
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
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
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
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
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
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
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
Mitigating heat demand peaks in buildings in a highly renewable European energy system.
Zeyen, E.; Hagenmeyer, V.; Brown, T.
2020. Applied energy
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
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
Dynamic Modeling and Control for Assessment of Large-Scale Wind and Solar Integration in Power Systems.
Kyesswa, M.; Cakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2020. IET Renewable power generation
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
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
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
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
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
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
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
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
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
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
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 Building Simulations - International Conference and Exhibition (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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 Association (IBPSA)
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
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
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
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
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
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
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
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
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
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
2018
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
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
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
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
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
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
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
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
Chancen der Digitalisierung für die Energiewende.
Hagenmeyer, V.
2018. Jahrestagung des Forschungsverbundes Erneuerbare Energien (FVEE 2018), Berlin, Deutschland, 17.–18. Oktober 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
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 (2018), Stockholm, Schweden, 18. Oktober 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
2017
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
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
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
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
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
Lastprognosen (für Fernwärmenetze).
Mikut, R.; Hagenmeyer, V.; Rink, M.
2017. Workshop FPS, Karlsruhe, 26.Oktober 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 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
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
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
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
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
Optimal power flow with non-Gaussian uncertainties.
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. SCI Workshop, Karlsruhe, September 11-12, 2017
Poster Abstract: Implementation of an extended generator subsystem in OpenModelica and comparative analysis with DIgSILENT PowerFactory.
Kyesswa, M.; Çakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2017. Computer science - research and development, 1–3. doi:10.1007/s00450-017-0370-7
Solving optimal power flow with non-Gaussian uncertainties via polynomial chaos expansion.
Mühlpfordt, T.; Faulwasser, T.; Roald, L.; Hagenmeyer, V.
2017. 56th IEEE Conference on Decision and Control, Melbourne, AUS, December 12-15, 2017
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0.
Jakob, W.; Gonzalez-Ordiano, J. Á.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2017. GECCO ’17 : Proceedings of the Genetic and Evolutionary Computation Conference Companion, Berlin, Germany, 15th - 19th July 2017, 1271–1278, Association for Computing Machinery (ACM). doi:10.1145/3067695.3082481
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0.
Jakob, W.; Gonzalez-Ordiano, J. A.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2017. Genetic and Evolutionary Computation Conference (GECCO 2017), Berlin, Deutschland, 15.–19. Juli 2017
Optimal power flow with non-Gaussian uncertainties.
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. Innovationen für die Energie von morgen : 6.Jahrestagung des KIT-Zentrums Energie, Karlsruhe, 2.Juni 2017
Enhancing model interchangeability for powerflow studies : An example of a new Hungarian network model in powerfactory and Easimov.
Hartmann, B.; Çakmak, H. K.; Kühnapfel, U. G.; Hagenmeyer, V.
2017. Proceedings of the 31st European Conference on Modelling and Simulation (ECMS 2017), Budapest, Hungary, 23rd-26th May 2017, 158–165, European Council for Modelling and Simulation
On solving probabilistic load flow for radial grids using polynomial chaos.
Appino, R. R.; Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. 12th IEEE PES PowerTech Conference, Manchester, GB, June 18-22, 2017
Stochastic optimal power flow for non-Gaussian uncertainties.
Faulwasser, T.; Mühlpfordt, T.; Hagenmeyer, V.
2017. Future Electric Power Systems and the Energy Transition : International Conference, Champery, CH, February 5-9, 2017
Solving stochastic (optimal) power flow via polynomial chaos expansion.
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. 2017 Grid Science Winter School and Conference, Santa Fe, NM, January 8-13, 2017
Stochastic OPF with non-Gaussian uncertainties. Problem formulation and efficient solution.
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. 2017 Grid Science Winter School and Conference, Santa Fe, NM, January 8-13, 2017
Integrated Research as Key to the Development of a Sustainable Geothermal Energy Technology.
Meller, C.; Bremer, J.; Ankit, K.; Baur, S.; Bergfeldt, T.; Blum, P.; Canic, T.; Eiche, E.; Gaucher, E.; Hagenmeyer, V.; Heberling, F.; Held, S.; Herfurth, S.; Isele, J.; Kling, T.; Kuhn, D.; Mayer, D.; Müller, B.; Nestler, B.; Neumann, T.; Nitschke, F.; Nothstein, A.; Nusiaputra, Y.; Orywall, P.; Peters, M.; Sahara, D.; Schäfer, T.; Schill, E.; Schilling, F.; Schröder, E.; Selzer, M.; Stoll, M.; Wiemer, H.-J.; Wolf, S.; Zimmermann, M.; Kohl, T.
2017. Energy technology, 5 (7), 965–1006. doi:10.1002/ente.201600579
2016
How will technology effect our mobile future, digitization, and energy transition?.
Hillerbrand, R.; Hagenmeyer, V.; Doppelbauer, M.
2016. 2016 KIT Annual Celebration: Energy, Mobility, and Information in the Focus of Research – Knowledge for Society and the Environment – Hanselka on KIT 2025: Full Use of Synergy Potentials (2016), Karlsruhe, Deutschland, 15. April 2016
Heat Exchanger for Down-Hole Condensation Process Theoretical and Experimental Investigation, Considering Surrounding Fluid Properties.
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.; Schulenberg, T.
2016. Geothermal Resources Council Annual Meeting (GRC 2016) : Geothermal Energy Here and Now : Sustainable, Clean, Flexible, Sacramento, California, USA, 23 - 26 October 2016. Ed.:, 949–956, Geothermal Resources Council (GRC)
Zuverlässige und sichere Software offener Automatisierungssysteme der Zukunft – Herausforderungen und Lösungswege.
Keller, H. B.; Schneider, O.; Matthes, J.; Hagenmeyer, V.
2016. Automatisierungstechnik, 64 (12), 930–947. doi:10.1515/auto-2016-0060
Lastprognosen für das Fernwärmenetz der Stadt Karlsruhe.
Mikut, R.; Renkamp, N.; Gonzalez Ordiano, J. A.; Ludwig, N.; Schlagel, T.; Waczowicz, S.; Hagenmeyer, V.; Rink, M.; Iser, A.; Hitzel, J.
2016. 4. Workshop der Stadt Karlsruhe mit den KIT-Zentren “Klima und Umwelt” und “Energie” (2016), Karlsruhe, Deutschland, 29. November 2016
Energy projects in KIT-IAI: Energy lab 2.0 and beyond.
Mikut, R.; Hagenmeyer, V.
2016. Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung, Ilmenau, 2.Dezember 2016
New Data-Driven Probabilistic Forecasting Methods.
Gonzalez Ordiano, J. A.; Mikut, R.; Hagenmeyer, V.
2016. Doktorandenworkshop der Initiative EnergieSystem 2050, Friedrichsdorf, 7.-8. Dezember 2016
Solving stochastic AC power flow via polynomial chaos expansion.
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2016. 2016 IEEE Conference on Control Applications (CCA), Part of 2016 IEEE Multi-Conference on Systems and Control, Buenos Aires, RA, September 19-22, 2016. Proceedings, 70–76, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCA.2016.7587824
Solving stochastic AC power flow via polynomial chaos expansion.
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2016. 2016 IEEE Conference on Control Applications (CCA), Part of 2016 IEEE Multi-Conference on Systems and Control, Buenos Aires, RA, September 19-22, 2016
Heat exchanger for down-hole condensation process.
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.; Schulenberg, T.
2016. 40th Geothermal Research Council Annual Meeting, Sacramento, CA, October 23-26, 2016. Technical Session Papers, 949–955
Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems.
González Ordiano, J. Á.; Doneit, W.; Waczowicz, S.; Gröll, L.; Mikut, R.; Hagenmeyer, V.
2016. Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. November 2016. Hrsg.: F. Hoffmann, 9–30, KIT Scientific Publishing
Photovoltaic power forecasting using simple data-driven models without weather data.
González Ordiano, J. Á.; Waczowicz, S.; Reischl, M.; Mikut, R.; Hagenmeyer, V.
2016. Computer Science - Research and Development, 32 (1-2), 237–246. doi:10.1007/s00450-016-0316-5
Heat exchanger for down-hole condensation process.
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.; Schulenberg, T.
2016. 40th Geothermal Research Council Annual Meeting, Sacramento, CA, October 23-26, 2016
Data-driven photovoltaic power forecasting.
Gonzalez Ordiano, J. A.; Waczowicz, S.; Reischl, M.; Mikut, R.; Hagenmeyer, V.
2016. 5. Jahrestagung des KIT-Zentrums Energie, Blick nach Vorne - Energiesystem 2050, Karlsruhe, 15.Juni 2016
The GeoKam - A tool for video inspection in hot deep geothermal boreholes.
Spatafora, L.; Isele, J.; Holbein, B.; Hagenmeyer, V.
2016. 41st Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 22-24, 2016. Proceedings on CD-ROM, SGP-TR-209
Heating and cooling with geothermal energy. Heat management in an experimental holistic energy grid.
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2016. 41st Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 22-24, 2016. Proceedings on CD-ROM, SGP-TR-209
Heating and cooling with geothermal energy. Heat management in an experimental holistic energy grid.
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2016. 42nd Workshop on Geothermal Reservoir Engineering (2017), San José, CA, USA, 13.–15. Februar 2017
Virtual storages as theoretically motivated demand response models for enhanced smat grid operations.
Waczowicz, S.; Reischl, M.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Hagenmeyer, V.; Mikut, R.
2016. Energy technology, 4 (1), 163–176. doi:10.1002/ente.201500318
Information and communication technology in energy lab 2.0: Smart energies system simulation and control center with an open-street-map-based power flow simulation example.
Hagenmeyer, V.; Cakmak, H. K.; Düpmeier, C.; Faulwasser, T.; Isele, J.; Keller, H. B.; Kohlhepp, P.; Kühnapfel, U.; Stucky, U.; Waczowicz, S.; Mikut, R.
2016. Energy Technology, 4 (1), 145–162. doi:10.1002/ente.201500304
2015
Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis.
Maaß, H.; Cakmak, H. K.; Bach, F.; Mikut, R.; Harrabi, A.; Süß, W.; Jakob, W.; Stucky, K.-U.; Kühnapfel, U. G.; Hagenmeyer, V.
2015. EURASIP journal on advances in signal processing, 2015 (1), 1–21. doi:10.1186/s13634-015-0203-4
A concept for the control, monitoring and visualization center in energy lab 2.0.
Düpmeier, C.; Stucky, K. U.; Mikut, R.; Hagenmeyer, V.
2015. 4th D-A-CH Energy Informatics Conference, Karlsruhe, November 12-13, 2015
A concept for the control, monitoring and visualization center in energy lab 2.0.
Düpmeier, C.; Stucky, K. U.; Mikut, R.; Hagenmeyer, V.
2015. Energy Informatics : 4th D-A-CH Conference, Karlsruhe, November 12-13, 2015. Ed.: S. Gottwalt, 83–94, Springer. doi:10.1007/978-3-319-25876-8_8
Update: Platform based development of down-hole tools.
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2015. Geothermiekongress 2015, Essen, 2.-4.November 2015
Design of a novel water sampler for deep geothermal boreholes.
Isele, J.; Hagenmeyer, V.
2015. Geothermiekongress 2015, Essen, 2.-4.November 2015
Update: Platform based development of down-hole tools.
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2015. Geothermiekongress 2015, Essen, 2.-4.November 2015, CD-ROM
Design of a novel water sampler for deep geothermal boreholes.
Isele, J.; Hagenmeyer, V.
2015. Geothermiekongress 2015, Essen, 2.-4.November 2015, CD-ROM
Why cooling and geothermal go together. Practical and advanced examples of concepts.
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2015. European Geothermal Workshop (EGW 2015), Strasbourg, F, October 19-20, 2015
Demand response clustering - How do dynamic prices affect household electricity consumption?.
Waczowicz, S.; Reischl, M.; Hagenmeyer, V.; Mikut, R.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.
2015. IEEE PowerTech 2015, Eindhoven, NL, June 29 - July 2, 2015
Demand response clustering - How do dynamic prices affect household electricity consumption?.
Waczowicz, S.; Reischl, M.; Hagenmeyer, V.; Mikut, R.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.
2015. Proceedings of IEEE PowerTech 2015, Eindhoven, NL, June 29 - July 2, 2015, Article no 7232493, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2015.7232493
Zuverlässige, sichere und beherrschbare Software in der Automatisierung - Wunsch und Wirklichkeit.
Keller, H. B.; Schneider, O.; Matthes, J.; Hagenmeyer, V.
2015. IMI 2015 - IT meets Industry, Frankenthal, 29.-30.September 2015
Deadbeat control for electrical drives: A robust and performant design based on differential flatness.
Stumper, J. F.; Hagenmeyer, V.; Kuehl, S.; Kennel, R.
2015. IEEE transactions on power electronics, 30, 4585–4596. doi:10.1109/TPEL.2014.2359971
Virtual Storages as Theoretically Motivated Demand Response Models for Enhanced Smart Grid Operations.
Waczowicz, S.; Reischl, M.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Hagenmeyer, V.; Mikut, R.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Deutschland, 20.–22. Mai 2015
Quality Management and Improvement for Geothermal Energy Projects using the Platform Based Tool Development Technology - ZWERG.
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Deutschland, 20.–22. Mai 2015
Information and Communication Technology in Energy Lab 2.0.
Hagenmeyer, V.; Çakmak, H. K.; Düpmeier, C.; Faulwasser, T.; Isele, J.; Keller, H. B.; Kohlhepp, P.; Kühnapfel, U.; Stucky, U.; Mikut, R.
2015. Energy, Science and Technology 2015. The energy conference for scientists and researchers. Book of Abstracts, EST, Energy Science Technology, International Conference & Exhibition, 20-22 May 2015, Karlsruhe, Germany, 57, Karlsruher Institut für Technologie (KIT)
Virtual storages as theoretically motivated demand response models for enhanced smart grid operation.
Waczowicz, S.; Reischl, M.; Klaiber, S.; Bretschneider, P.; Westermann, D.; Hagenmeyer, V.; Mikut, R.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Deutschland, 20.–22. Mai 2015
Quality management and improvement for geothermal energy projects using the platform based tool development technology - ZWERG.
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Deutschland, 20.–22. Mai 2015