| Predicting Redispatch in the German Electricity Market using Information Systems based on Machine Learning P Staudt, B Rausch, C Weinhardt Proceedings of the 39th International Conference on Information Systems …, 2018 | 32 | 2018 |
| 3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D K Mayer, B Rausch, ML Arlt, G Gust, Z Wang, D Neumann, R Rajagopal Applied Energy 310, 118469, 2022 | 31 | 2022 |
| Predicting transmission line congestion in energy systems with a high share of renewables P Staudt, B Rausch, J Gärttner, C Weinhardt 2019 IEEE Milan PowerTech, 1-6, 2019 | 16 | 2019 |
| An enriched automated PV registry: Combining image recognition and 3D building data B Rausch, K Mayer, ML Arlt, G Gust, P Staudt, C Weinhardt, D Neumann, ... arXiv preprint arXiv:2012.03690, 2020 | 10 | 2020 |
| Transmission grid congestion data and directions for future research B Rausch, P Staudt, C Weinhardt Proceedings of the Tenth ACM International Conference on Future Energy …, 2019 | 5 | 2019 |
| Congestion data of 50 Hertz 2015-2017 P Staudt, B Rausch, C Weinhardt | 1 | 2019 |
| Renewable feed-in management data Germany 2015-2018 P Staudt, B Rausch, C Weinhardt | 1 | 2019 |
| Redispatch data Germany 2015-2017 P Staudt, B Rausch, C Weinhardt | 1 | 2019 |
| Congestion data TSO 50 Hertz Germany 2015-2017 (binary) P Staudt, B Rausch, C Weinhardt | | 2019 |
Christof WeinhardtProfessor for Information Systems, Karlsruhe Institute of TechnologyVerified email at kit.edu
