| Artificial intelligence for electricity supply chain automation L Richter, M Lehna, S Marchand, C Scholz, A Dreher, S Klaiber, S Lenk Renewable and Sustainable Energy Reviews 163, 112459, 2022 | 53 | 2022 |
| Forecasting day-ahead electricity prices: A comparison of time series and neural network models taking external regressors into account M Lehna, F Scheller, H Herwartz Energy Economics 106, 105742, 2022 | 52 | 2022 |
| AI agents envisioning the future: Forecast-based operation of renewable energy storage systems using hydrogen with Deep Reinforcement Learning A Dreher, T Bexten, T Sieker, M Lehna, J Schütt, C Scholz, M Wirsum Energy Conversion and Management 258, 115401, 2022 | 41 | 2022 |
| 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 | 23 | 2022 |
| Towards the prediction of electricity prices at the intraday market using shallow and deep-learning methods C Scholz, M Lehna, K Brauns, A Baier Mining Data for Financial Applications: 5th ECML PKDD Workshop, MIDAS 2020 …, 2021 | 11 | 2021 |
| Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents M Lehna, J Viebahn, A Marot, S Tomforde, C Scholz Energy and AI 14, 100276, 2023 | 9 | 2023 |
| Targeted adversarial attacks on wind power forecasts R Heinrich, C Scholz, S Vogt, M Lehna Machine Learning 113 (2), 863-889, 2024 | 8 | 2024 |
| HUGO--Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach M Lehna, C Holzhüter, S Tomforde, C Scholz arXiv preprint arXiv:2405.00629, 2024 | 2 | 2024 |
| AI agents assessing flexibility: the value of demand side management in times of high energy prices A Dreher, LM Martmann, M Lehna, C Roelofs, J Bergsträßer, C Scholz, ... 2022 18th International Conference on the European Energy Market (EEM), 1-9, 2022 | 1 | 2022 |
| Fault Detection for agents on power grid topology optimization: A Comprehensive analysis M Lehna, M Hassouna, D Degtyar, S Tomforde, C Scholz arXiv preprint arXiv:2406.16426, 2024 | | 2024 |
