Christian Nauck

According to our database, Christian Nauck authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Domain-independent detection of known anomalies.

Jonas Bühler, Jonas Fehrenbach, Lucas Steinmann, Christian Nauck, Marios Koulakis

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

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

2022

Towards dynamic stability analysis of sustainable power grids using graph neural networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann

CoRR, 2022

Dynamic stability of power grids - new datasets for Graph Neural Networks.

Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann

CoRR, 2022

2021

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