The Michigan Engineer News Center

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
EnlargeMan working on a computer
IMAGE:  Seth Guikema prepares a power outage model.
Man working on a computer

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Michigan Engineering

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Researchers
  • Seth Guikema

    Seth Guikema

    Associate Professor of Industrial and Operations Engineering

Hurricane Florence approaching the east coast. Photo courtesy of the NOAA

Hurricane Florence: U-M researchers forecast impacts

More than 2 million people could lose power, and flooding is the major concern for several reasons. | Medium Read