Julian Oelhaf
Chair of Computer Science 5 (Pattern Recognition)
Research associates
Address
Martensstraße 3 91058 Erlangen
Contact
About: I am a PhD researcher at FAU Erlangen-Nürnberg working on applying machine learning to power systems. My focus is on making electricity grids more reliable and resilient by improving how faults are detected, classified, and managed. I enjoy bridging research and practice, and I work closely with industry to bring new AI solutions into real-world grid operations.
Focus Areas
- Fault Management: smarter detection, classification, and localization of grid faults
- Protection & Restoration: AI-driven strategies to speed up response and recovery after disturbances
- Digital Twins & Data: large-scale simulations and data pipelines for testing new protection approaches
- Anomaly Detection: modern AI methods to identify unusual events and improve system monitoring
Approach & Tools
- Machine Learning & AI (deep learning, reinforcement learning, transformers)
- Handling complex time-series data at scale with reproducible pipelines
- Simulation and real data: PowerFactory EMT, PMU/SCADA, and digital twins
Collaboration Opportunities
- Joint pilot projects with utilities, TSOs/DSOs, and technology providers
- Benchmarking and validation of new AI-based protection methods
- Advisory and knowledge transfer on ML adoption for grid applications
- Since 2024: PhD Student at the Pattern Recognition Lab, FAU Erlangen-Nürnberg
- 2021 - 2024 Master’s degree in Computer Science, FAU Erlangen-Nürnberg
- 2017 - 2020 Bachelor’s degree in Aerospace Computer Science, JMU Würzburg
No projects found.
No publications found.
| Type | Title | Status |
|---|---|---|
| Project | Universal and Relay-Generalizable Machine Learning for Protection in Power Grids | open |
| Project | Machine Learning for Cyber-Physical Event Detection in Smart Grids | running |
| MA thesis | Parameter Efficient Finetuning of Universal Time Series Transformers for Energy Forecasting | running |
| Project | Conventional vs. Reinforcement Learning–Based Relays for Power System Protection | running |
| MA thesis | Wind Power Forecasting through Probabilistic Machine Learning Models | finished |