Predicting a hurricane’s impact with big data

A research team prepares weather models that will predict a storm’s impact on the electrical infrastructure. | Short Read

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
IMAGE:  Seth Guikema prepares a power outage model.


Levi Hutmacher
Multimedia Content Producer

Michigan Engineering

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  • Seth Guikema

    Seth Guikema

    Associate Professor of Industrial and Operations Engineering