Prof. Dr. Johann Jäger

Professur für Elektrische Energieversorgung

Controlled Comparison of Machine Learning Models for Fault Classification and Localization in Power System Protection (2026) Oelhaf J, Kordowich G, Kim C, Andrea Perez-Toro P, Bergler C, Maier A, Jäger J, Bayer S Unpublished / Preprint Fault Inception Detection in Real-World Disturbance Data for Power System Protection (2026) Oelhaf J, Pashaei M, Perez Toro PA, Kordowich G, Bergler C, Maier A, Jäger J, Bayer S Unpublished / Preprint Reducing hardware requirements for AI-based high-impedance ground fault detection (2026) Conrad T, Bluhm JN, Gaube S, Jäger J Journal article, Online publication PROTECT-90: A Fault Dataset for Power System Protection (2026) Oelhaf J, Kordowich G, Bergler C, Maier A, Jäger J, Bayer S Unpublished / Preprint Distanzschutz und Inverter-Based-Rsources (2026) Löbel J, Jäger J Conference contribution Physics-Informed GNN for Medium-High Voltage AC Power Flow With Edge-Aware Attention and Line Search Correction Operator (2026) Kim C, Conrad T, Karim R, Oelhaf J, Riebesel D, Arias Vergara T, Maier A, et al. Conference contribution, Conference Contribution Distance Protection Relaying in Distribution Grids with Increasing Inverter-Based-Resources (2026) Löbel J, Becker G, Trunk K, Leugner J, Scheibe C, Jäger J Conference contribution, Conference Contribution Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection (2025) Oelhaf J, Kordowich G, Kim C, Perez Toro PA, Maier A, Jäger J, Bayer S Conference contribution AI-Based Detection and Identification of Fault Direction of High Impedance Ground Faults in Resonant-Grounded Grids (2025) Conrad T, Bluhm JN, Gaube S, Kordowich G, Jäger J Conference contribution, Conference Contribution Impact of Training Dataset Size for ML Load Flow Surrogates (2025) Conrad T, Kim C, Jäger J, Maier A, Bayer S Conference contribution, Conference Contribution