Predicting Dynamic Stability of Power Grids using Graph Neural Networks. - Christian Nauck; Michael Lindner; Konstantin Schürholt; Haoming Zhang; Paul Schultz; Jürgen Kurths; Ingrid Isenhardt; Frank Hellmann (CoRR, 2021)

Dynamic stability of power grids - new datasets for Graph Neural Networks. - Christian Nauck; Michael Lindner; Konstantin Schürholt; Frank Hellmann (CoRR, 2022)

Towards dynamic stability analysis of sustainable power grids using graph neural networks. - Christian Nauck; Michael Lindner; Konstantin Schürholt; Frank Hellmann (CoRR, 2022)

Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning. - Christian Nauck; Michael Lindner; Nora Molkenthin; Jürgen Kurths; Eckehard Schöll; Jörg Raisch; Frank Hellmann (CoRR, 2024)

Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning. - Christian Nauck; Anna Büttner; Sebastian Liemann; Frank Hellmann; Michael Lindner (CoRR, 2024)

Domain-independent detection of known anomalies. - Jonas Bühler; Jonas Fehrenbach; Lucas Steinmann; Christian Nauck; Marios Koulakis (CoRR, 2024)

Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions. - Christian Nauck; Rohan Gorantla; Michael Lindner; Konstantin Schürholt; Antonia S. J. S. Mey; Frank Hellmann (CoRR, 2024)