Dr. Christoph Scholz
Teamleiter: Reinforcement Learning for Cognitive Energy Systems (RL4CES)
- cscholz[at]uni-kassel[dot]de
Publikationen
2024[ to top ]
- Fault Detection for Agents in Power Grid Topology Optimization: A Comprehensive Analysis. . In Machine Learning for Sustainable Power Systems (ML4SPS), ECML. Springer, 2024.
- Capturing Nonlinear Electron Dynamics with Fully Characterised Attosecond X-ray Pulses. . In arXiv e-prints, bl arXiv:2408.03858. 2024.
2023[ to top ]
- Targeted Adversarial Attacks on Wind Power Forecasts. . In Machine Learning, 113(2), bll 863–889. Springer, 2023.
- Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents. . In Energy and AI, 14, bl 100276. Energy and AI, 2023.
- Active Bird2Vec: Towards End-To-End Bird Sound Monitoring with Transformers. . In Workshop on Artificial Intelligence for Sustainability (AI4S), ECAI, bll 1–6. 2023.