{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/628d65060c044c4f9af3a540f3579ad0\" frameborder=\"0\" width=\"1840\" height=\"1380\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1380,"width":1840,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1380,"thumbnail_width":1840,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/628d65060c044c4f9af3a540f3579ad0-00001.gif","duration":198.29999999999998,"title":"P-TRAC Portal Overview","description":"Hi, Colin here from Edgecom Energy. In this video, I'll give you a rundown of our P-TRAC portal, which is used for predicting peaks for the ICI program. I'll explain how the portal works, including the two models running simultaneously, the prediction model, and the machine learning involved. I'll also show you how to monitor real-time data, curtailments, and upcoming peak days. No action is required from you, but this overview will help you understand the P-TRAC portal better."}