<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/628d65060c044c4f9af3a540f3579ad0&quot; frameborder=&quot;0&quot; width=&quot;1840&quot; height=&quot;1380&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1380</height><width>1840</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1380</thumbnail_height><thumbnail_width>1840</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/628d65060c044c4f9af3a540f3579ad0-00001.gif</thumbnail_url><duration>198.29999999999998</duration><title>P-TRAC Portal Overview</title><description>Hi, Colin here from Edgecom Energy. In this video, I&apos;ll give you a rundown of our P-TRAC portal, which is used for predicting peaks for the ICI program. I&apos;ll explain how the portal works, including the two models running simultaneously, the prediction model, and the machine learning involved. I&apos;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.</description></oembed>