LLMs and Agentic AI Systems for Smart Grids: A Tutorial on Architectures and Applications
Making AI systems safe and reliable for managing electrical grids
AI systems designed to manage electrical grids produce answers that sound plausible but are often physically impossible or wrong. This paper shows that wrapping AI around trusted mathematical solvers—and verifying every answer before reporting it—cuts dangerous errors by 52% and reduces forecasting mistakes 7.5 to 9.5 times compared to AI alone.
Electrical grids need split-second decisions on power flow and equipment failures. If an AI gives a confident but wrong answer, it could trigger blackouts or equipment damage. This approach ensures the grid only acts on answers from verified solvers, not just plausible-sounding AI guesses, making AI tools safe enough to actually deploy in critical infrastructure.