{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b4a26fd8b8d44f6782832e2aca1476a9\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b4a26fd8b8d44f6782832e2aca1476a9-2585291f745c137f.gif","duration":109.185,"title":"Transforming Energy Management with AI-Driven Digital Twins","description":"In this video, I discuss how we are transforming our approach to managing energy grids by utilizing ERCOT's live data APIs to create a living digital twin. Our intervention sandbox allows planners to simulate heatwaves and EV surges, helping us identify risk zones and prevent potential failures. By deploying a one-megawatt battery downtown, we can improve our risk-resilient index significantly. I also highlight how a $500,000 solar incentive could reduce evening peak demand by 16 megawatts. I encourage you to explore these insights and consider how we can implement proactive measures in our energy management strategies."}