Publikationen

Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling
Poppenborg, R.; Phipps, K.; Beichter, M.; Förderer, K.; Mikut, R.; Hagenmeyer, V.
2025. Energy Informatics – 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part II. Ed.: B. Jørgensen, 205–223, Springer Nature Switzerland. doi:10.1007/978-3-031-74741-0_14

Federated reinforcement learning for sustainable and cost-efficient energy management
Sievers, J.; Henrich, P.; Beichter, M.; Mikut, R.; Hagenmeyer, V.; Blank, T.; Simon, F.
2025. Energy and AI, Art.-Nr.: 100521. doi:10.1016/j.egyai.2025.100521

Forecasting Electric Vehicle Charging Behavior in Workplace Charging Infrastructure with Limited Privacy-Restricted Real Data
Stein, A.; Beichter, S.; Hage, J.; Beichter, M.; Schwarz, B.; Waczowicz, S.; Hiller, M.; Hagenmeyer, V.; Munzke, N.; Mikut, R.
2024. 2024 IEEE Transportation Electrification Conference and Expo (ITEC), 7 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITEC60657.2024.10598951

EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis
Friederich, N.; Yamachui Sitcheu, A. J.; Nassal, A.; Pesch, M.; Yildiz, E.; Beichter, M.; Scholtes, L.; Akbaba, B.; Lautenschlager, T.; Neumann, O.; Kohlheyer, D.; Scharr, H.; Seiffarth, J.; Nöh, K.; Mikut, R.
2024. Proceedings : 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024. Ed.: H. Schulte, 169–192, KIT Scientific Publishing

AutoWP: Automated wind power forecasts with limited computing resources using an ensemble of diverse wind power curves
Meisenbacher, S.; Selzer, S. A.; Dado, M.; Beichter, M.; Martin, T. J.; Zdrallek, M.; Bretschneider, P.; Hagenmeyer, V.; Mikut, R.
2024. Proceedings : 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024. Ed.: H. Schulte, 1–19, KIT Scientific Publishing

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

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

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

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data
Scholch, L.; Steinhauser, J.; Beichter, M.; Seibold, C.; Yang, K.; Knaeble, M.; Schwarz, T.; Maedche, A.; Stiefelhagen, R.
2022. 2022 26th International Conference on Pattern Recognition (ICPR), 1607–1613, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICPR56361.2022.9956453

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