Model Behavior: Matt Dzugan's Calibration Catch

Our model behavior series provides an inside look at Uptake’s industrial data scientists and the challenging work they do on behalf of our customers. Why is this topic so important? Because tough problems don’t solve themselves.

In this episode, we hear from Matt Dzugan, a member of our Energy Team who builds models that enable wind turbines to produce as much renewable power as possible. Recently, we made a big catch on one of our customers’ wind turbines within the first few months of deployment. Our model correctly identified a calibration issue with the turbine — a problem that’s quite difficult to detect, even to the trained eye.

Customers are taking advantage of AI insights like these to increase AEP by 2%.