Ulrich Jakob Oberhofer, M.Sc.
- PhD student (Stochastische Modellierung, Physik-inspiriertes Maschinelles Lernen)
Fachgebiet Daten-getriebene Analyse komplexer Systeme (DRACOS)
333
CN 445+49 721 608-28965
ulrich oberhofer ∂does-not-exist.kit edu
Publikationen
2024
Identifying Complex Dynamics of Power Grid Frequency
Wen, X.; Oberhofer, U.; Gorjão, L. R.; Yalcin, G. C.; Hagenmeyer, V.; Schäfer, B.
2024. The 15th ACM International Conference on Future and Sustainable Energy Systems, 408–414, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661944
Wen, X.; Oberhofer, U.; Gorjão, L. R.; Yalcin, G. C.; Hagenmeyer, V.; Schäfer, B.
2024. The 15th ACM International Conference on Future and Sustainable Energy Systems, 408–414, Association for Computing Machinery (ACM). doi:10.1145/3632775.3661944
AI serving grid stability: detecting anomalies in automatic frequency restoration data
Beichter, M.; Hertel, M.; Hülsen, H. von; Oberhofer, U.; Pütz, S.
2024, Februar 14. Hessian.AI Industry Challenge Final Event (2024), Online, 13.–14. Februar 2024
Beichter, M.; Hertel, M.; Hülsen, H. von; Oberhofer, U.; Pütz, S.
2024, Februar 14. Hessian.AI Industry Challenge Final Event (2024), Online, 13.–14. Februar 2024
Can SINDy identify power grid frequency dynamics?
Wen, X.; Oberhofer, U.; Rydin Gorjao, L.; Yalcin, G. C.; Hagenmeyer, V.; Schäfer, B.
2024. Workshop: Tackling Climate Change with Machine Learning (ICLR 2024)
Wen, X.; Oberhofer, U.; Rydin Gorjao, L.; Yalcin, G. C.; Hagenmeyer, V.; Schäfer, B.
2024. Workshop: Tackling Climate Change with Machine Learning (ICLR 2024)
2023
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
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