Predicting a hurricane’s impact with big data
A University of Michigan research team is crunching data on the fly to predict a storm’s impact on electrical infrastructure. Their models are part of a larger project that aims to predict the probability of power outages from a wide variety of events, including less severe but more frequent incidents like thunderstorms, heat waves and blizzards. Ultimately, Guikema envisions a rolling model, updated daily, that utility companies could use to allocate resources on a day-to-day basis.
If we’re successful in developing these methods...then we can help these utilities that are getting impacted by these events, restore power faster and more efficiently.Seth Guikema
Multimedia Content Producer
Associate Professor of Industrial and Operations Engineering