Publications

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, 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