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Julian Oelhaf

Observed name: Oelhaf, Julian
ORCID: 0009-0008-8204-589X
Observed ORCID: 0009-0008-8204-589X
OpenAlex ID: A5116594401
A scoping review of machine learning applications in power system protection and disturbance management
2025 · Julian Oelhaf, Georg Kordowich, et al. · International Journal of Electrical Power & Energy Systems · 29
A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids
2025 · Julian Oelhaf, Georg Kordowich, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 2
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Robustness evaluation of machine learning models for fault classification and localization in power system protection
2026 · Julian Oelhaf, Mehran Pashaei, et al. · IET conference proceedings. · 1
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Physics-Informed GNN for Medium-High Voltage AC Power Flow with Edge-Aware Attention and Line Search Correction Operator
2026 · Changhun Kim, Timon Conrad, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 1
Distributed Predictive Flocking for a Swarm of Miniature Vibration-Driven Robots in a Confined Arena
2026 · Shrestha, Prajol, Mohapatra, Siddhant, et al. · arXiv (Cornell University)
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Parameter-Efficient Adaptation of Time Series Foundation Models for Electrical Load Forecasting
2026 · Aliullah, Oelhaf, Julian, et al. · arXiv (Cornell University)
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Characterizing Cross-Relay Generalization Failure in Machine Learning-Based Power System Protection
2026 · Kizhakkethil, Nithin Pradeep Nadayil, Oelhaf, Julian, et al. · arXiv (Cornell University)
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Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow
2026 · Kim, Changhun, Conrad, Timon, et al. · arXiv (Cornell University)
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EvEMTBench: An Open Benchmark for Machine Learning in Power System Protection
2026 · Oelhaf, Julian, Kordowich, Georg, et al. · arXiv (Cornell University)
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Offline Reinforcement Learning for Distribution-Grid Protection
2026 · Oelhaf, Julian, Luce, Alexander, et al. · arXiv (Cornell University)
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Peak-Aware Short-Term Load Forecasting Across Distribution Grid Aggregation Levels
2026 · Chattopadhyay, Souhardya, Oelhaf, Julian, et al. · arXiv (Cornell University)
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Deep learning architectures for fault analysis in power system protection: A reproducible evaluation on public waveform data
2026 · Julian Oelhaf, Georg Kordowich, et al. · Electric Power Systems Research
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Simulation videos: Distributed Predictive Flocking for a Swarm of Miniature Vibration-Driven Robots in a Confined Arena
2026 · Shrestha, Prajol, Mohapatra, Siddhant, et al. · Zenodo (CERN European Organization for Nuclear Research)
A simulation based dataset of faults and events for machine learning in power systems
2026 · Kordowich, Georg, Loebel, Jonathan, et al. · arXiv (Cornell University)
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A standardized framework for machine learning in power system protection
2026 · Julian Oelhaf, Georg Kordowich, et al. · International Journal of Electrical Power & Energy Systems
PROTECT-90: A Fault Dataset for Power System Protection
2026 · Kordowich, Georg, Oelhaf, Julian, et al. · Zenodo (CERN European Organization for Nuclear Research)
Feature selection for fault prediction in distribution systems
2026 · Georg Kordowich, Julian Oelhaf, et al. · Electric Power Systems Research
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PROTECT-90: A Fault Dataset for Power System Protection
2026 · Oelhaf, Julian, Kordowich, Georg, et al. · arXiv (Cornell University)
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Fault Inception Detection in Real-World Disturbance Data for Power System Protection
2026 · Oelhaf, Julian, Pashaei, Mehran, et al. · arXiv (Cornell University)
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Parameter-Efficient Domain Adaptation of Physics-Informed Self-Attention based GNNs for AC Power Flow Prediction
2026 · Karim, Redwanul, Kim, Changhun, et al. · arXiv (Cornell University)
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PROTECT-90: A Fault Dataset for Power System Protection
2026 · Kordowich, Georg, Oelhaf, Julian, et al. · Zenodo (CERN European Organization for Nuclear Research)
Controlled Comparison of Machine Learning Models for Fault Classification and Localization in Power System Protection
2025 · Oelhaf, Julian, Kordowich, Georg, et al. · arXiv (Cornell University)
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Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection
2025 · Julian Oelhaf, Georg Kordowich, et al. · European Signal Processing Conference (EUSIPCO)
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A Graph Neural Network-Based Approach for Power System Protection
2025 · Georg Kordowich, Julian Oelhaf, et al.
Verification of neural network based power system protection schemes
2025 · Christoph Mederer, Georg Kordowich, et al. · IET conference proceedings.
Works count: 27
Citation count: 33
H-index: 2
I10-index: 1
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