| A Reinforcement Learning approach for the continuous electricity market of Germany: Trading from the perspective of a wind park operator M Lehna, B Hoppmann, C Scholz, R Heinrich Energy and AI 8, 100139, 2022 | 22 | 2022 |
| Targeted adversarial attacks on wind power forecasts R Heinrich, C Scholz, S Vogt, M Lehna Machine Learning 113 (2), 863–889, 2024 | 7 | 2024 |
| AudioProtoPNet: An interpretable deep learning model for bird sound classification R Heinrich, B Sick, C Scholz arXiv preprint arXiv:2404.10420, 2024 | | 2024 |
| BirdSet: A Multi-Task Benchmark for Classification in Avian Bioacoustics L Rauch, R Schwinger, M Wirth, R Heinrich, J Lange, S Kahl, B Sick, ... arXiv preprint arXiv:2403.10380, 2024 | | 2024 |
| TRANSFER-Transfer Learning als essentielles Werkzeug für die Energiewende. Sachbericht D Beinert, K Brauns, G Hein, RPG Heinrich, DE Hollermann, M Jürgens, ... Fraunhofer IEE, 2023 | | 2023 |
| Gridcast-Erhöhung der Netzsicherheit durch flexibilisierte Wetter-und Leistungsprognosemodelle auf Basis stochastischer und physikalischer Hybridmethoden N Asanalieva, S Bremicker-Trübelhorn, L Franken, G Good, RPG Heinrich, ... | | 2022 |
Christoph ScholzFraunhofer IEEVerified email at iee.fraunhofer.de
