- Ruhr-Universität Bochum
Forschungsfokus
- Explainable Artificial Intelligence
- Artificial Intelligence for Energy Applications
- Renewable Energy
Publikationen
- C. Utama, C. Meske, J. Schneider, R. Schlatmann, C. Ulbrich (2023). Explainable artificial intelligence for photovoltaic fault detection: A comparison of instruments. Solar Energy, Volume 249, pp. 139–151. Link
- C. Utama, C. Meske, J. Schneider, and C. Ulbrich (2022). Reactive power control in photovoltaic systems through (explainable) artificial intelligence. Applied Energy, 328. Link
- C. Utama, B. Karg, C. Meske, and S. Lucia (2022). Explainable artificial intelligence for deep learning-based model predictive controllers. In Proceedings of the 26th International Conference on System Theory, Control and Computing (ICSTCC). Link