Collaboration
Collaboration opportunities in safe and scalable AI for power systems.
I welcome collaborations across academia and industry on reliable, scalable decision-making for future power systems.
Current Focus Areas
- Safe and scalable AI for grid-edge flexibility
- Chance-constrained and distributionally robust optimization for dispatch and markets
- Aggregation methods for DERs and reserve market participation
- Data-centre flexibility and power-system integration
- Policy-relevant analysis for equitable energy transitions
For Academic Collaborators
- Joint papers on optimization, power systems, and AI safety
- Co-supervision opportunities for MSc/PhD projects
- Grant proposal partnerships (UK/EU/international)
- Invited seminars, workshops, and focused reading groups
For Industry Collaborators
- Pilot studies on flexibility scheduling and reserve delivery guarantees
- Method transfer for uncertainty-aware operational tools
- Technical workshops for DSOs/TSOs, retailers, and aggregators
- Evidence generation for investment and policy decisions
Typical Collaboration Outputs
- Open-access papers and technical reports
- Prototype optimization/decision-support tools
- Data products and benchmarking workflows
- Joint workshops and dissemination activities
Contact
If you are interested in collaboration, please email: yihong.zhou@eng.ox.ac.uk.