{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/4c716702efdf461aac233fb210ce83d8\" 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/4c716702efdf461aac233fb210ce83d8-35b3a69783747c36.gif","duration":119.659,"title":"Optimizing EV Charging with Real-Time Event Data 📊","description":"In this video, I explain our new solution, Grid Posts, which addresses the challenge of managing energy demand spikes after large public events, like those at the Moody Center. We’ve developed a four-layer pipeline that ingests real-time event data, confirms attendance through parking lot cameras, and analyzes energy profiles to provide actionable insights for base power companies. Our API delivers structured data that includes targeted zip codes, precharging capacities, and revenue estimates, which can significantly optimize energy management. I encourage you to consider how this tool can enhance our energy dispatch strategies and help us better prepare for peak demand scenarios."}