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


2024
Buchaufsätze
Distribution Grid Monitoring Based on Widely Available Smart Plugs
Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2024. Energy Informatics – Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings, Part II. Ed.: B. Jørgensen, 195–212, Springer Nature Switzerland. doi:10.1007/978-3-031-48652-4_13
Managing Anomalies in Energy Time Series for Automated Forecasting
Turowski, M.; Neumann, O.; Mannsperger, L.; Kraus, K.; Layer, K.; Mikut, R.; Hagenmeyer, V.
2024. Energy Informatics. Proceedings. Ed.: B. Jørgensen. Pt. 1, 3–29, Springer Nature Switzerland. doi:10.1007/978-3-031-48649-4_1
Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder
Werling, D.; Beichter, M.; Heidrich, B.; Phipps, K.; Mikut, R.; Hagenmeyer, V.
2024. Energy Informatics : Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings, Part I / Ed.: B. Jørgensen, 95–116, Springer Nature Switzerland. doi:10.1007/978-3-031-48649-4_6
Dissertationen
Challenges in Deep Learning Based Forecasting of Time Series with Calendar-driven Periodicities. Dissertation
Heidrich, B.
2024, Juni 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000171463
Quantifying and Interpreting Uncertainty in Time Series Forecasting. Dissertation
Phipps, K.
2024, Juni 3. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000171223
Future Residential Energy System Design. Dissertation
Kleinebrahm, M.
2024, Mai 28. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170239
Neuartiger Solid-State Transformer auf Basis des Modular Multilevel Converters. Dissertation
Himmelmann, P.
2024, April 22. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170146
Interaction of external forcing and noise in bio-inspired oscillator systems. Dissertation
Kumpost, V.
2024, März 12. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000169163
Zeitschriftenaufsätze
Gossen’s first law in the modeling for demand side management: a thorough heat pump case study with deep learning based partial time series data generation
Li, C.; Brecher, G.; Kovačević, J.; Çakmak, H. K.; Förderer, K.; Matthes, J.; Hagenmeyer, V.
2024. Energy Informatics, 7, 47. doi:10.1186/s42162-024-00353-z
Open Data-Driven Automation of Residential Distribution Grid Modeling With Minimal Data Requirements
Weber, M.; Janecke, L.; Çakmak, H. K.; Hagenmeyer, V.
2024. IEEE Transactions on Smart Grid. doi:10.1109/TSG.2024.3406765
Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network
Phipps, K.; Heidrich, B.; Turowski, M.; Wittig, M.; Mikut, R.; Hagenmeyer, V.
2024. Applied Intelligence. doi:10.1007/s10489-024-05346-9
The impact of heat pumps on day-ahead energy community load forecasting
Semmelmann, L.; Hertel, M.; Kircher, K. J.; Mikut, R.; Hagenmeyer, V.; Weinhardt, C.
2024. Applied Energy, 368, 123364. doi:10.1016/j.apenergy.2024.123364
Using conditional Invertible Neural Networks to perform mid‐term peak load forecasting
Heidrich, B.; Hertel, M.; Neumann, O.; Hagenmeyer, V.; Mikut, R.
2024. IET Smart Grid. doi:10.1049/stg2.12169
Hierarchical-stochastic model predictive control for a grid-interactive multi-zone residential building with distributed energy resources
Langner, F.; Frahm, M.; Wang, W.; Matthes, J.; Hagenmeyer, V.
2024. Journal of Building Engineering, 89, 109401. doi:10.1016/j.jobe.2024.109401
What ODE-Approximation Schemes of Time-Delay Systems Reveal about Lyapunov-Krasovskii Functionals
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2024. IEEE Transactions on Automatic Control, 1–16. doi:10.1109/TAC.2023.3347497
Early Attack Detection for Securing GOOSE Network Traffic
Elbez, G.; Nahrstedt, K.; Hagenmeyer, V.
2024. IEEE Transactions on Smart Grid, 15 (1), 899–910. doi:10.1109/TSG.2023.3272749
Proceedingsbeiträge
Privacy Protection in Collaborative Geographically Distributed Co-Simulation of Multimodal Energy Systems
Kocher, A.; Kovačević, J.; Süß, A.-C.; Saner, C. B.; Dindar, B.; Ehsan, M. A.; Çakmak, H. K.; Hagenmeyer, V.
2024. e-Energy ’24 : Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, Singapore, 4th-7th June 2024, 639–647, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661990
Improving Reduced-Order Building Modeling: Integration of Occupant Patterns for Reducing Energy Consumption
Kovačević, J.; Li, C.; Förderer, K.; Çakmak, H. K.; Hagenmeyer, V.
2024. Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 15th ACM International Conference on Future and Sustainable Energy Systems (2024), Singapur, Singapur, 04.06.2024–07.06.2024, 569–579, Association for Computing Machinery (ACM). doi:10.1145/3632775.3662163
Interoperability Assessment of IEC 61850 Devices in a Multivendor Digital Substation
Keppler, G.; Bonetti, A.; Canbolat, S.; Mumrez, A.; Hagenmeyer, V.; Elbez, G.
2024. 6th Global Power, Energy and Communication Conference (GPECOM2024), Institute of Electrical and Electronics Engineers (IEEE)
Extended Abstract: Assessing GNSS Vulnerabilities in Smart Grids
Canbolat, S.; Fruböse, C.; Elbez, G.; Hagenmeyer, V.
2024. 21st Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA ’24)
Attacking Learning-based Models in Smart Grids: Current Challenges and New Frontiers
Sanchez, G.; Elbez, G.; Hagenmeyer, V.
2024. e-Energy ’24: Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 589–595, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661984
CityGML Data Preparation for Thermal Building Simulation on District Level
Geiger, A.; Häfele, K.-H.; Hagenmeyer, V.
2024. IBPSA (International Building Performance Simulation Association)
Towards a Conception and the Implementation of FAIR Data Management Tools for the Energy Domain
Stucky, K.-U.; Koubaa, M. A.; Liu, N.; Schmidt, A.; Süß, W.; Hagenmeyer, V.
2024. 1. NFDI4Energy Conference, 5 S., Zenodo. doi:10.5281/zenodo.10614813
Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework
Dai, X.; Kocher, A.; Kovačević, J.; Dindar, B.; Jiang, Y.; Jones, C. N.; Çakmak, H.; Hagenmeyer, V.
2024. 23rd Power Systems Computation Conference, Paris, 4th-7th June 2024
Real-Time Coordination of Integrated Transmission and Distribution Systems: Flexibility Modeling and Distributed NMPC Scheduling
Dai, X.; Guo, Y.; Jiang, Y.; Jones, C. N.; Hug, G.; Hagenmeyer, V.
2024. 23rd Power Systems Computation Conference, Paris, 4th-6th June 2024, arxiv
Verifiable Certificateless Signcryption Scheme for Smart Grids
Ramadan, M.; Elbez, G.; Hagenmeyer, V.
2024. 2023 7th International Conference on System Reliability and Safety (ICSRS), 181–189, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSRS59833.2023.10381069
Gossen’s First Law in the Modeling for Demand Side Management: A First Heat Pump Case Study
Li, C.; Förderer, K.; Moser, T.; Spatafora, L.; Hagenmeyer, V.
2024. Energy Informatics. Hrsg.: B.N. Jørgensen. Pt. 2, 111–125, Springer Nature Switzerland. doi:10.1007/978-3-031-48652-4_8
Forschungsberichte/Preprints
Technical report on the flexibility potentials and solutions of buildings, districts, transport, and energy-intensive industries
Argert, C.; Dyck, A.; Jacobs, N.; Jochem, P.; Kröner, M.; Maydell, C. von; Schlüters, S.; Schuldt, F.; Vehse, M.; Dahmen, M.; Germschied, S.; Mitsos, A.; Mork, M.; Müller, D.; Ojeda, A.; Xhonneux, A.; Frahm, M.; Häfele, K.-H.; Hagenmeyer, V.; Matthes, J.; Vogelbacher, M.
2024. Deutsches Zentrum für Luft- und Raumfahrt (DLR). doi:10.5445/IR/1000171941
Impact and Integration of Mini Photovoltaic Systems on Electric Power Distribution Grids
Demirel, G.; Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2024. arxiv
Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework
Dai, X.; Kocher, A.; Kovačević, J.; Dindar, B.; Jiang, Y.; Jones, C. N.; Çakmak, H.; Hagenmeyer, V.
2024. arxiv. doi:10.48550/arXiv.2402.01001
Vorträge
Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions
Neumann, O.; Beichter, M.; Heidrich, B.; Friederich, N.; Hagenmeyer, V.; Mikut, R.
2024. 15th The ACM International Conference on Future and Sustainable Energy Systems (e-Energy ’24 2024), Singapur, Singapur, 4.–7. Juni 2024
Methodik zur Stabilitätsanalyse in totzeitbehafteten Systemen
Scholl, T. H.; Gröll, L.; Hagenmeyer, V.
2024, Februar 22. 58. Regelungstechnisches Kolloquium (2024), Boppard, Deutschland, 21.–23. Februar 2024
2023
Dissertationen
A Concept for Deployment and Evaluation of Unsupervised Domain Adaptation in Cognitive Perception Systems. Dissertation
Schutera, M.
2023, Oktober 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000162895
Robot-Assisted Full Automation Interface: Touch-Response On Zebrafish Larvae. Dissertation
Wang, Y.
2023, August 10. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161245
Cable Layout Optimization Problems in the Context of Renewable Energy Sources. Dissertation
Gritzbach, S. F.
2023, Mai 19. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000158746
The Role of Spatial Scale in Electricity System Optimisation Models. Dissertation
Frysztacki, M. M.
2023, April 6. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000157620/v2
Automation of section acquisition for array tomography. Dissertation
Hoffmann, J.
2023, Februar 6. Karlsruher Institut für Technologie (KIT)
Automation of section acquisition for Array Tomography. Dissertation
Hoffmann, J.
2023. Karlsruher Institut für Technologie (KIT)
Data-Driven Methods for Managing Anomalies in Energy Time Series. Dissertation
Turowski, M.
2023, Juli 6. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000154434
Zeitschriftenaufsätze
Input and state constrained inverse optimal control with application to power networks
Jouini, T. K.; Sun, Z.; Renganathan, V.; Hagenmeyer, V.
2023. IFAC-PapersOnLine, 56 (2), 5451 – 5456. doi:10.1016/j.ifacol.2023.10.196
Model Predictive Control of Distributed Energy Resources in Residential Buildings Considering Forecast Uncertainties
Langner, F.; Wang, W.; Frahm, M.; Hagenmeyer, V.
2023. Energy and Buildings, 303, Article no: 113753. doi:10.1016/j.enbuild.2023.113753
The Kopernikus ENSURE Co-Demonstration Platform
Mehlmann, G.; Kühnapfel, U.; Wege, F.; Winkens, A.; Scheibe, C.; Vogel, S.; Noglik, P.; Gratza, M.; Richter, J.; Weber, M.; Burlakin, I.; Kuri, A.; Wagner, T.; Hubschneider, S.; Poppenborg, R.; Heins, T.; Förderer, K. M.; Ulbig, A.; Monti, A.; Hagenmeyer, V.; Luther, M.
2023. IEEE Open Journal of Power Electronics, 4, 987–1002. doi:10.1109/OJPEL.2023.3332515
Using weather data in energy time series forecasting: the benefit of input data transformations
Neumann, O.; Turowski, M.; Mikut, R.; Hagenmeyer, V.; Ludwig, N.
2023. Energy Informatics, 6 (1), Art.-Nr.: 44. doi:10.1186/s42162-023-00299-8
Transformer training strategies for forecasting multiple load time series
Hertel, M.; Beichter, M.; Heidrich, B.; Neumann, O.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2023. Energy Informatics, 6 (S1), Art.-Nr.: 20. doi:10.1186/s42162-023-00278-z
Abstracts of the 12th DACH+ Conference on Energy Informatics 2023
Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2023. Energy Informatics, 6 (S2). doi:10.1186/s42162-023-00272-5
Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart Charging
Phipps, K.; Schwenk, K.; Briegel, B.; Mikut, R.; Hagenmeyer, V.
2023. IEEE Internet of Things Journal, 10 (23), 20649–20661. doi:10.1109/JIOT.2023.3299201
Predicting the power grid frequency of European islands
Lund Onsaker, T.; Nygård, H. S.; Gomila, D.; Colet, P.; Mikut, R.; Jumar, R.; Maass, H.; Kühnapfel, U.; Hagenmeyer, V.; Schäfer, B.
2023. Journal of Physics: Complexity, 4 (1), Article no: 015012. doi:10.1088/2632-072X/acbd7f
Corrigendum to “ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles” [Energy Build. 265 (2022) 112096]
Quintana, M.; Stoeckmann, T.; Park, J. Y.; Turowski, M.; Hagenmeyer, V.; Miller, C.
2023. Energy and Buildings, 286, Art.-Nr.: 112930. doi:10.1016/j.enbuild.2023.112930
Occupant-oriented demand response with multi-zone thermal building control
Frahm, M.; Dengiz, T.; Zwickel, P.; Maaß, H.; Matthes, J.; Hagenmeyer, V.
2023. Applied Energy, 347, Art.-Nr.: 121454. doi:10.1016/j.apenergy.2023.121454
A comparative co-simulation analysis to improve the sustainability of cogeneration-based district multi-energy systems using photovoltaics, power-to-heat, and heat storage
Erdmann, A.; Marcellan, A.; Stock, J.; Neuroth, D.; Utama, C.; Suriyah, M.; Steinle, S.; Müller, F.; Hering, D.; Francke, H.; Gritzbach, S.; Henke, M.; Pflugradt, N.; Çakmak, H.; Kotzur, L.; Stolten, D.; Leibfried, T.; Müller, D.; Schlatmann, R.; Xhonneux, A.; Hagenmeyer, V.; Ulbrich, C.
2023. Energy conversion and management, 291, Artkl.Nr.: 117226. doi:10.1016/j.enconman.2023.117226
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
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
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
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, 11 (3). doi:10.1002/ente.202201186
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
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
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.
2023. Applied Intelligence, 53 (8), 8826–8843. doi:10.1007/s10489-022-03742-7
Proceedingsbeiträge
TSO-DSO Interaction: Privacy-Preserving Optimal Power Flow with Distributed Generators Using a Machine Learning-Based Approach
Dindar, B.; Saner, C. B.; Kemal Çakmak, H.; Hagenmeyer, V.
2023. 2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/APPEEC57400.2023.10562006
Hypergraph- Based Fast Distributed AC Power Flow Optimization
Dai, X.; Lian, Y.; Jiang, Y.; Jones, C. N.; Hagenmeyer, V.
2023. 2023 62nd IEEE Conference on Decision and Control (CDC), 4572 – 4579, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC49753.2023.10383354
Experimental Analysis of Immersion & Invariance Adaptive Control for an Interleaved DC/DC Boost Converter with Unknown Load Type
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2023. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEUROPE56780.2023.10407194
Flatness of Some DC Microgrid Topologies
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2023. 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, 16th-18th October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380906
NFDI4Energy Task Area 4: FAIR Data for Energy System Research
Wein, A.; Reinkensmeier, J.; Weidlich, A.; Lilliestam, J.; Hagenmeyer, V.; Richter, M.; Auer, S.; Nieße, A.; Lehnhoff, S.
2023. INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 939 – 946, Gesellschaft für Informatik (GI). doi:10.18420/inf2023_106
Application of Model-Free Control to Reduce the Total Harmonic Distortion of Inverters
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380817
Towards a Real-World Dispatchable Feeder
Beichter, S.; Beichter, M.; Werling, D.; Galenzowski, J.; Weise, V.; Hildenbrand, C.; Wiegel, F.; Mikut, R.; Waczowicz, S.; Hagenmeyer, V.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380834
Composing Power Flow Patterns through Coordinated Dispatch of Energy Packets
Schulz, D.; Schneider, K.; Weßbecher, M.; Hagenmeyer, V.; Zitterbart, M.; Hiller, M.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380818
Modes of Energy Packets in the Energy Packet Grid
Schneider, K.; Weßbecher, M.; Schulz, D.; Hagenmeyer, V.; Hiller, M.; Zitterbart, M.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380897
Experimental validation of demand side response rates for frequency control
Casasola-Aignesberger, L.; Wiegel, F.; Waczowicz, S.; Hagenmeyer, V.; Martinez, S.
2023. 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 16-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eGrid58358.2023.10380814
On Evasion of Machine Learning-based Intrusion Detection in Smart Grids
Mumrez, A.; Sánchez, G.; Elbez, G.; Hagenmeyer, V.
2023. IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids. doi:10.1109/SmartGridComm57358.2023.10333966
Comparative Study on Smart Grid Security Testbeds Using MITRE ATT&CK Matrix
Mumrez, A.; Muhammad M. Roomi; Heng Chuan Tan; Daisuke Mashima; Elbez, G.; Hagenmeyer, V.
2023. 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm57358.2023.10333902
Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands
Oberhofer, U.; Gorjao, L. R.; Yalcin, G. C.; Kamps, O.; Hagenmeyer, V.; Schäfer, B.
2023. 2023 IEEE Belgrade PowerTech, 1, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PowerTech55446.2023.10202986
ZeitGeist: A Generic Tool Supporting the Dissemination of Time Series Data Following FAIR Principles
Schmidt, A.; Koubaa, M.; Schweikert, J.; Stucky, K.-U.; Süß, W.; Hagenmeyer, V.
2023. Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 303–310, SciTePress. doi:10.5220/0012254300003598
Management Strategies for an EP device in an Energy Packet Grid
Weßbecher, M.; Marianczuk, J.; Wiegel, F.; An, S. X.; Schneider, K.; Schulz, D.; Zitterbart, M.; Hiller, M.; Hagenmeyer, V.
2023. Energy Informatics: First Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings. Ed.: B. Jørgensen, 240–256, Springer. doi:10.1007/978-3-031-48652-4_16
A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain
Galenzowski, J.; Waczowicz, S.; Meisenbacher, S.; Mikut, R.; Hagenmeyer, V.
2023. BuildSys ’23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 434–441, Association for Computing Machinery (ACM). doi:10.1145/3600100.3626347
On Higher-Order Averaging and Flatness
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2023. 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), Rome, Italy, 03-06 July 2023, 1043–1048, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CoDIT58514.2023.10284494
Tuning of discrete-time angular droop controllers
Jouini, T. K.; Sun, Z.; Hagenmeyer, V.
2023. 2023 IEEE Conference on Control Technology and Applications (CCTA), Bridgetown, Barbados, 16-18 August 2023, 741 – 745, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA54093.2023.10252209
Dynamic Mapping for Evolutionary Algorithm Based Optimization of Energy Hub Gas Scheduling
Poppenborg, R.; Beisswanger, K.; Hotz, C.; Förderer, K.; Kolb, T.; Hagenmeyer, V.
2023. 2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE), 206–211, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE59172.2023.10274571
A Novel Method for Topology Preserving Static Network Reduction
Weber, M.; Çakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2023. 2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 13-15 August 2023, 58–63, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE59172.2023.10274576
FAIR Data for Energy System Research – An Overview of NFDI4Energy Task Area 4
Wein, A.; Reinkensmeier, J.; Weidlich, A.; Lilliestam, J.; Hagenmeyer, V.; Richter, M.; Auer, S.; Nieße, A.; Lehnhoff, S.
2023. 1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities, Karlsruhe, 12th - 14th September 2023, 1–4, Karlsruher Institut für Technologie (KIT). doi:10.52825/CoRDI.v1i.364
Enhancing Agility and Reconfigurability in Production: A Database-Driven Infrastructure to Support Additive Manufacturing with Collaborative Robotics
Mueller, T.; Scholz, S.; Salem, M.; Hagenmeyer, V.; Schmidt, A.
2023. Production Processes and Product Evolution in the Age of Disruption – Proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023), Bologna, Italy, June 2023, 255 – 263, Springer International Publishing. doi:10.1007/978-3-031-34821-1_28
Automating day-ahead forecasting of photovoltaic power generation: Model design, monitoring, and adaption
Meisenbacher, S.; Martin, T.; Heidrich, B.; Mikut, R.; Hagenmeyer, V.
2023. ETG Congress 2023, Kassel, Germany, 25-26 May 2023, 83–90, VDE Verlag
A Real-Time PHIL Implementation of a Novel Nonlinear Distributed Control Strategy for a Multi-Terminal DC Microgrid
Ekin, Ö.; Perez, F.; Damm, G.; Hagenmeyer, V.
2023. 2023 IEEE Belgrade PowerTech, Belgrade, Serbia, 25-29 June 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PowerTech55446.2023.10202843
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling
Poppenborg, R.; Phipps, K.; Khalloof, H.; Förderer, K.; Mikut, R.; Hagenmeyer, V.
2023. GECCO ’23 Companion: Companion Conference on Genetic and Evolutionary Computation Lisbon Portugal July 15 - 19, 2023. Ed.: S. Silva, 755–758, Association for Computing Machinery (ACM). doi:10.1145/3583133.3590666
From Stationary to Flexible Plant Operation: Extension of a Co-Current Rotary Dryer Model for Energy Demand Flexibility
Schaßberger, J.; Hagenmeyer, V.; Gröll, L.
2023. International Conference on Process Control 2023
A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost Allocation
Bauer, R.; Dai, X.; Hagenmeyer, V.
2023. e-Energy ’23: Proceedings of the 14th ACM International Conference on Future Energy Systems, 109 – 113, Association for Computing Machinery (ACM). doi:10.1145/3575813.3576881
The Impact of Local Energy Market Participants’ Decisions on Efficient Energy Usage: Design of a Multi-Agent System
Speck, C.; Bluhm, S.; Weinhardt, C.; Zwickel, P.; Hagenmeyer, V.
2023. 2023 19th International Conference on the European Energy Market (EEM), Lappeenranta, Finland, 06-08 June 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM58374.2023.10161771
An Efficient Greedy Algorithm for Real-World Large-Scale Electric Vehicle Charging
Hegele, M.; Metzler, P.; Beichter, S.; Wiegel, F.; Hagenmeyer, V.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 415–426, Association for Computing Machinery (ACM). doi:10.1145/3575813.3597349
A new Data-Driven Approach for Comparative Assessment of Baseline Load Profiles Supporting the Planning of Future Charging Infrastructure
Galenzowski, J.; Waczowicz, S.; Hagenmeyer, V.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 8–20, Association for Computing Machinery (ACM). doi:10.1145/3599733.3600245
Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence
Pütz, S.; Kruse, J.; Witthaut, D.; Hagenmeyer, V.; Schäfer, B.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 26–31, Association for Computing Machinery (ACM). doi:10.1145/3599733.3600247
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder
Werling, D.; Beichter, M.; Heidrich, B.; Phipps, K.; Mikut, R.; Hagenmeyer, V.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 59–71, Association for Computing Machinery (ACM). doi:10.1145/3599733.3600251
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation
Phipps, K.; Meisenbacher, S.; Heidrich, B.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2023. Proceedings of the 14th ACM International Conference on Future Energy Systems, 271–286, Association for Computing Machinery (ACM). doi:10.1145/3575813.3595204
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models
Meisenbacher, S.; Heidrich, B.; Martin, T.; Mikut, R.; Hagenmeyer, V.
2023. Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy 2023), 386–414, Association for Computing Machinery (ACM). doi:10.1145/3575813.3597348
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
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
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
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
Forschungsberichte/Preprints
Hypergraph-Based Fast Distributed AC Power Flow Optimization
Dai, X.; Lian, Y.; Jiang, Y.; Jones, C. N.; Hagenmeyer, V.
2023. arxiv. doi:10.48550/arXiv.2307.06728
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
Vorträge
Von vollständigen zu robusten Lyapunov-Krasovskii-Funktionalen für die Analyse absoluter Stabilität in Totzeitsystemen
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2023, September 25. Tagung der VDI/VDE-GMA-Fachausschüsse 2.14 ’Systemtheorie und Regelungstechnik’ (2023), Anif, Österreich, 25.–27. September 2023
Dynamic Mapping for Evolutionary Algorithm Based Optimization of Energy Hub Gas Scheduling
Poppenborg, R.
2023, August 13. 11th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2023), Oshawa, Kanada, 13.–15. August 2023
Using Conditional Invertible Neural Networks To Perform Mid-Term Peak Load Forecasting
Heidrich, B.; Neumann, O.; Hertel, M.; Hagenmeyer, V.; Mikut, R.
2023. 43rd International Symposium On Forecasting (2023), Charlottesville, VA, USA, 25.–28. Juni 2023
Automating the design and operation of day-ahead photovoltaic power generation forecasts with AutoPV
Meisenbacher, S.; Mikut, R.; Heidrich, B.; Martin, T.; Hagenmeyer, V.
2023. Helmholtz Energy Conference (2023), Koblenz, Deutschland, 12.–13. Juni 2023
Winning the Peak Shape and Peak Timing Tasks of the BIGDEAL Load Forecasting Challenge with Conditional Invertible Neural Networks
Neumann, O.; Heidrich, B.; Hertel, M.; Hagenmeyer, V.; Mikut, R.
2023. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2023), Hamburg, Deutschland, 12.–14. Juni 2023
Poster
Poster Abstract: A three-phase electricity grid model of a single family house
Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2023. 12th DACH+ Conference on Energy Informatics (2023), Wien, Österreich, 4.–6. Oktober 2023
RO-Crate Time Series Exporter for the Building Consumption Data of KIT Campus North
Schweikert, J.; Turowski, M.; Köbe, V.; Süß, W.; Hagenmeyer, V.
2023. 1st Conference on Research Data Infrastructure (CoRDI 2023), Karlsruhe, Deutschland, 12.–14. September 2023. doi:10.5281/zenodo.8423342
Hybrid Risk Assessment Process for Smart Grids
Canbolat, S.; Elbez, G.; Hagenmeyer, V.
2023, Mai 10. 10th KIT-Zentrum Energie Promovierenden-Symposium // KIT Energy Center Doctoral Symposium (2023), Karlsruhe, Deutschland, 10. Mai 2023
Evaluating ML-based IDS with Mimicry Attacks
Sanchez, G.; Mumrez, A.; Elbez, G.; Wressnegger, C.; Hagenmeyer, V.
2023. Community Congress by StartUpSecure 2023- Critical Infrasructure and CyberSecruity (2023), Karlsruher Institut für Technologie, 11. Mai 2023
Electrical Load Forecasting with Transformer Neural Networks
Hertel, M.; Beichter, M.; Heidrich, B.; Neumann, O.; Ott, S. M.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2023. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2023), Hamburg, Deutschland, 12.–14. Juni 2023
Audio & Video
Introduction to eASiMOV-eCoSim
Kovacevic, J.; Süß, A.-C.; Çakmak, H. K.; Hagenmeyer, V.
2023. doi:10.5445/IR/1000159679
2022
Dissertationen
Self-learning Anomaly Detection in Industrial Production. Dissertation
Meshram, A.
2022, November 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000152361
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
Zeitschriftenaufsätze
Some Notes on Two Tests for Stability in Lossy Power Systems
Gröll, L.; Kastner, A.; Scholl, T. H.; Hagenmeyer, V.
2022. IFAC-PapersOnLine, 55 (40), 247–252. doi:10.1016/j.ifacol.2023.01.080
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Proceedingsbeiträge
Integrated concept of local heat transition using geothermal heat production, aquifer storage and optimization of distribution network
Zwickel, P.; Bauer, F.; Schätzler, K.; Steiner, U.; Waczowicz, S.; Hagenmeyer, V.; Schill, E.
2022. European Geothermal Congress 2022 : Berlin, Germany, 17-21 October 2022 : proceedings, European Geothermal Energy Council (EGEC)
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
Comparison of Four-Switch Buck-Boost and Dual Active Bridge Converter for DC Microgrid Applications
Ekin, Ö.; Arena, G.; Waczowicz, S.; Hagenmeyer, V.; 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
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
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
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
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
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
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
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
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
Integration of Monitoring Data into a Virtual 3D Campus Model
Häfele, K.-H.; Geiger, A.; Kaiser, F.-J.; Hagenmeyer, V.
2022. Proceedings of BauSim Conference 2022: 9th Conference of IBPSA-Germany and Austria, International Building Performance Simulation Association (IBPSA). doi:10.26868/29761662.2022.32
Usage Profile Enrichment of CityGML Models for Urban Building Energy Modeling
Geiger, A.; Nichersu, A.; Häfele, K.-H.; Hagenmeyer, V.
2022. Proceedings of BauSim Conference 2022: 9th Conference of IBPSA-Germany and Austria, International Building Performance Simulation Association (IBPSA). doi:10.26868/29761662.2022.28
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
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
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
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
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
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
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
Forschungsberichte/Preprints
Rapid Scalable Distributed Power Flow with Open-Source Implementation
Dai, X.; Cai, Y.; Jiang, Y.; Hagenmeyer, V.
2022
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
Vorträge
Transformer Neural Networks for Building Load Forecasting
Hertel, M.; Ott, S.; Neumann, O.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Online, 28. November–9. Dezember 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
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
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
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
Comparison of Four-Switch Buck-Boost and Dual Active Bridge Converter for DC Microgrid Applications
Ekin, Ö.; Arena, G.; Waczowicz, S.; Hagenmeyer, V.; Carne, G.
2022, Juni 26. 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022), Kiel, Deutschland, 26.–29. Juni 2022
Poster
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
Forschungsdaten
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
2021
Buchaufsätze
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
Dissertationen
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
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
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
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
Zeitschriftenaufsätze
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
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
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
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
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 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
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
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
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
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
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
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
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
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
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
Proceedingsbeiträge
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Forschungsberichte/Preprints
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
Vorträge
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
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
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
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
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
2020
Buchaufsätze
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
Dissertationen
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
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
Zeitschriftenaufsätze
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
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
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
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 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
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
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
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
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
Transportmodelle für Flüssigkeitsfilme
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2020. Automatisierungstechnik, 68 (8), 625–640. doi:10.1515/auto-2020-0016
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
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
A Novel Optimization Method for Urban Resilient and Fair Power Distribution Preventing Critical Network States
Ottenburger, S. S.; Çakmak, H. K.; Jakob, W.; Blattmann, A.; Trybushnyi, D.; Raskob, W.; Kühnapfel, U.; Hagenmeyer, V.
2020. International journal of critical infrastructure protection, 29, Art.Nr. 100354. doi:10.1016/j.ijcip.2020.100354
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
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
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
Proceedingsbeiträge
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
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
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 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
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
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
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)
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
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
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
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
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
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
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
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
Forschungsberichte/Preprints
Polychaos.jl - A Julia package for polynomial chaos in systems and control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020
Clustering Dataset
Frysztacki, M.; Hörsch, J.; Hagenmeyer, V.; Brown, T. W.
2020. doi:10.5281/zenodo.3965781
PolyChaos.jl -- A Julia Package for Polynomial Chaos in Systems and Control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020
Vorträge
Power Hardware In the Loop infrastructure at KIT
Hubschneider, S.; Waczowicz, S.; Wiegel, F.; Karrari, S.; Sousa, W. T. B. de; Carne, G. de; 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
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
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
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
Poster
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
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
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
2019
Zeitschriftenaufsätze
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
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
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
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
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
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
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
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
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
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
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
Proceedingsbeiträge
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
Vorträge
Globale und nationale Herausforderungen bei der Umsetzung der Energiesystemtransformation
Fischedick, M.; Samadi, S.; Pregger, T.; Vogt, T.; Henning, H.-M.; Hoffmann, C.; Rohrig, K.; Horst, J.; Hauser, E.; Hagenmeyer, V.; Poganietz, W. R.
2019. FVEE-Jahrestagung (2019), Berlin, Deutschland, 22.–23. Oktober 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
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
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
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
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
Poster
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
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
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
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
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
Forschungsdaten
2018
Zeitschriftenaufsätze
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
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
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
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
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
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
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
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
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
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
Proceedingsbeiträge
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
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
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
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
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
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
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
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
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
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
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
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
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. 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
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)
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
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
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
Vorträge
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 (WIW 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 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
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
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
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
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, USA, 16.–20. 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 : 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
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. 14th IEEE International Conference on Automation Science and Engineering (CASE 2018), München, Deutschland, 20.–24. August 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, April. IEEE International Conference on Software Architecture (ICSA 2018), Seattle, WA, USA, 30. April–4. Mai 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), Wilhelmshaven, Deutschland, 22.–25. Mai 2018
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
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
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
Poster
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
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
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
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, Deutschland, 12.–15. Juni 2018
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
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
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
2017
Zeitschriftenaufsätze
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
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
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
Proceedingsbeiträge
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
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
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
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. doi:10.5445/IR/1000076645
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
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
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
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
Vorträge
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
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
Real-life laboratory and simulation platform contributing to the successful implementation of the energy transition
Klumpp, M.; Bajohr, S.; Düpmeier, C.; Geisbüsch, J.; Isele, J.; Kühnapfel, U.; Lemmertz, N.; Müller, M.; Pfeifer, P.; Zimmerlin, B.; Zornek, T.; Zunft, S.; Hagenmeyer, V.; Dittmeyer, R.
2017. Integration of Sustainable Energy Conference and Expo (2018), Nürnberg, Deutschland, 17.–18. Juli 2018
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
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
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. A.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2017. Genetic and Evolutionary Computation Conference (GECCO 2017), Berlin, Deutschland, 15.–19. Juli 2017
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
Poster
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
Optimal power flow with non-Gaussian uncertainties
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. SCI Workshop, Karlsruhe, September 11-12, 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
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
2016
Zeitschriftenaufsätze
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
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
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
Proceedingsbeiträge
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)
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
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
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
Vorträge
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
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
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
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
Poster
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
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
2015
Zeitschriftenaufsätze
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
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
Proceedingsbeiträge
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, 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
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
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)
Vorträge
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
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
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
Energy Lab @ KIT
Dittmeyer, R.; Noe, M.; Hagenmeyer, V.; Schmeck, H.; Leibfried, T.
2015. 11th General Assembly of DERLab e.V., Fontainbleau, F, March 20, 2015
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
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
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