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2020 – today
- 2024
[i7]Christian Nauck, Michael Lindner, Nora Molkenthin, Jürgen Kurths, Eckehard Schöll, Jörg Raisch, Frank Hellmann:
Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning. CoRR abs/2402.17500 (2024)- [i6]Christian Nauck, Anna Büttner, Sebastian Liemann, Frank Hellmann, Michael Lindner:
Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning. CoRR abs/2406.08917 (2024) - [i5]Jonas Bühler, Jonas Fehrenbach, Lucas Steinmann, Christian Nauck, Marios Koulakis:
Domain-independent detection of known anomalies. CoRR abs/2407.02910 (2024) - [i4]Christian Nauck, Rohan Gorantla, Michael Lindner, Konstantin Schürholt, Antonia S. J. S. Mey, Frank Hellmann:
Dirac-Bianconi Graph Neural Networks - Enabling Non-Diffusive Long-Range Graph Predictions. CoRR abs/2407.12419 (2024) - 2022
- [i3]Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann:
Dynamic stability of power grids - new datasets for Graph Neural Networks. CoRR abs/2206.06369 (2022) - [i2]Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann:
Towards dynamic stability analysis of sustainable power grids using graph neural networks. CoRR abs/2212.11130 (2022) - 2021
- [i1]Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann:
Predicting Dynamic Stability of Power Grids using Graph Neural Networks. CoRR abs/2108.08230 (2021)
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