“Energy will be one of the
biggest bottlenecks of our
lifetimes for human progress
in AI and space explorations.”
OUR FOCUS
- Grid modeling and optimization with ML: Apply machine learning to power-system modeling and decision-making to develop faster, more scalable optimization methods.
- Efficient ACOPF methods: Improve AC Optimal Power Flow (ACOPF) techniques for deciding how electricity is generated and routed safely, economically, and reliably.
- Foundation models for power grids: Explore ML-based surrogate and hybrid models that preserve key grid physics while reducing solve time compared with traditional ACOPF solvers.