Reinforcement Learning + Physics-Informed Neural Networks for Smart Grid Energy Management

This is like an autopilot for a power grid: it learns how to turn different energy resources on and off in real time to keep costs and emissions low, using a fast “digital twin” of the grid based on physics models so it can safely practice thousands of scenarios before acting in the real world.