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.