Raum, H., Schnake, T., Hellmann, Frank, Kurths, Jürgen, Nauck, Christian (2025):
Explainable AI for analyzing the decision of GNNs at predicting dynamic stability of complex oscillator networks
- Chaos
Zhu, Junyou, Nauck, Christian, Lindner, Michael, He, Langzhou, Yu, Philip S., Müller, Klaus-Robert , Kurths, Jürgen, Hellmann, Frank:
Network Measure-Enriched GNNs: A New Framework for Power Grid Stability Prediction
- IEEE Transactions on Knowledge and Data Engineering
Nauck, Christian, Gorantla, Rohan , Lindner, Michael, Schürholt, Konstantin , Mey, Antonia S. J. S. , Hellmann, Frank (2024):
Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions
- Proceedings of Machine Learning Research
Nauck, Christian, Lindner, Michael, Schürholt, Konstantin , Hellmann, Frank (2023):
Toward dynamic stability assessment of power grid topologies using graph neural networks
- Chaos
Biehl, Juliane, Missbach, Leonard, Riedel, Franziska, Stemmle, Ruben, Jüchter, Julian, Weber, Jessica, Kucknat, Johanna, Odenweller, Adrian, Nauck, Christian, Lukassen, Laura J., Zech, Matthias, Grimm, Marie (2023):
Wicked facets of the German energy transition – examples from the electricity, heating, transport, and industry sectors
- International Journal of Sustainable Energy
Nauck, Christian, Lindner, Michael, Schürholt, Konstantin, Hellmann, Frank (2022):
Paper companion: Towards dynamic stability analysis of sustainable power grids using graph neural networks (Neurips Workshop Climate Change AI)
Nauck, Christian, Lindner, Michael, Schürholt, Konstantin, Zhang, Haoming, Schultz, Paul, Kurths, Jürgen, Isenhardt, Ingrid, Hellmann, Frank (2022):
Predicting basin stability of power grids using graph neural networks
- New Journal of Physics
Nauck, Christian, Lindner, Michael, Schürholt, Konstantin, Zhang, Haoming, Schultz, Paul, Kurths, Jürgen, Isenhardt, Ingrid, Hellmann, Frank (2021):
Predicting Dynamic Stability of Power Grids using
Graph Neural Networks
