Julian Oelhaf

According to our database, Julian Oelhaf authored at least 8 papers between 2025 and 2026.

Collaborative distances:

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

2026

Feature Selection for Fault Prediction in Distribution Systems.

Georg Kordowich, Julian Oelhaf, Siming Bayer, Andreas K. Maier, Matthias Kereit, Johann Jaeger

CoRR, March, 2026

Parameter-Efficient Domain Adaptation of Physics-Informed Self-Attention based GNNs for AC Power Flow Prediction.

Redwanul Karim, Changhun Kim, Timon Conrad, Nora Gourmelon, Julian Oelhaf, David Riebesel, Tomás Arias-Vergara, Andreas K. Maier, Johann Jäger, Siming Bayer

CoRR, February, 2026

2025

Robustness Evaluation of Machine Learning Models for Fault Classification and Localization In Power System Protection.

Julian Oelhaf, Mehran Pashaei, Georg Kordowich, Christian Bergler, Andreas K. Maier, Johann Jäger, Siming Bayer

CoRR, December, 2025

Benchmarking Machine Learning Models for Fault Classification and Localization in Power System Protection.

Julian Oelhaf, Georg Kordowich, Changhun Kim, Paula Andrea Pérez-Toro, Christian Bergler, Andreas K. Maier, Johann Jäger, Siming Bayer

CoRR, October, 2025

Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator.

Changhun Kim, Timon Conrad, Redwanul Karim, Julian Oelhaf, David Riebesel, Tomás Arias-Vergara, Andreas K. Maier, Johann Jäger, Siming Bayer

CoRR, September, 2025

A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management.

Julian Oelhaf, Georg Kordowich, Mehran Pashaei, Christian Bergler, Andreas K. Maier, Johann Jäger, Siming Bayer

CoRR, September, 2025

A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids.

Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro, Tomás Arias-Vergara, Andreas K. Maier, Johann Jäger, Siming Bayer

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection.

Julian Oelhaf, Georg Kordowich, Changhun Kim, Paula Andrea Pérez-Toro, Andreas K. Maier, Johann Jäger, Siming Bayer

Proceedings of the 33rd European Signal Processing Conference, 2025