Teaching & Supervision
Bridging theory, computation, and real-world energy systems.
I teach and supervise across energy systems, power markets, optimization, and AI-driven decision systems—with a focus on reproducible research and practical impact.
Courses
Key topics I teach or support.
- Power system economics and market operations
- Machine learning
- Power system operations and control
Supervision topics
Bachelor’s, Master’s, and PhD supervision areas.
- Local energy markets (LEM) and clearing algorithms
- Multi-agent systems and reinforcement learning for bidding
- Flexibility trading and activation (DSO/TSO contexts)
- Virtual power plants (VPP) and revenue stacking
- Battery energy storage scheduling and degradation-aware strategies
- MPC/MILP optimization for DER and industrial systems
Interested in working together?
If you are looking for supervision or collaboration in decentralized energy systems, AI + optimization, and flexibility markets, please reach out on the Contact page.