A level 2 EV charger can add 7-11Kw to the average home load. Texture's EV detection model works with utilities to use interval meter data to identify and map EVs.
Texture now supports utility-scale battery monitoring and dispatch, bringing front-of-the-meter assets into the same platform utilities use to manage distributed energy resources.
Wildfire risk is now year-round for many utilities. Here's how weather, vegetation, grid signals, and GIS exposure data fit together to tell you where and when to look.
When lineworkers go out to perform maintenance or restore an outage, one of the key questions that arises is who is responsible for making sure the line stays dead until they climb down?
After a demand response event, the first question is: How much load dropped? Thermostats, water heaters, and behavioral beat the peak programs require meter data to infer what happened.
The lights blink, come back, blink again, come back, blink a third time, and then the power goes out. That sequence is not the grid failing. It is the grid protecting itself.
In the last two weeks, we've shipped nearly 1300 GitHub PRs, giving operators a clearer picture of what's actually happening on their grid and program managers a more dependable platform.
This release moment is all about making EV and energy hardware more reliable, more observable, and easier to build on, especially for teams running demand response programs.
I started my career at Vermont Electric Cooperative as a SCADA engineer. We had just been awarded federal funding and were adding thousands of real-time data points to the system.