This collaboration between ThinkLabs and SCE demonstrates the use of physics-informed AI digital twins built on Microsoft Azure AI Foundry to address SCE’s grid planning needs. In the first phase, ThinkLabs’ system learns from tens of thousands of potential power flow scenarios to automate accurate, robust, high-speed, and hyper-scalable time-series power flow analytics. By simulating both distribution and sub-transmission network models, it helps anticipate broader system impacts. AI-powered agents detect, and report on, potential congestion, constraint, and violation events while automatically recommending solutions such as load flexibility, battery storage, and topology optimization to keep the grid reliable in the midst of increasing energy demands.