Use AI Agents to Analyze Power Grid Optimization

Greg Michaelson and Jason Hillary, the CPO and CTO at Zerve AI, will guide you through building and analyzing a synthetic power grid using Zerve AI’s data science notebooks and agentic workflows. You’ll explore how AI agents can assist with data analysis, optimization, and decision-making, while gaining hands-on experience with a realistic energy systems scenario. You'll generate a network of substations and transmission lines, simulate fluctuating demand, define generation costs and line capacity constraints, and optimize power flow across the network.