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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.

Written by: Levi Hutmacher

October 9, 2017

portraitSeth Guikema
Associate Professor of Industrial and Operations Engineering

EXPERTS:

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
An animation of a hurricane moving on a computer screen.
Seth Guikema prepares a power outage model.

MEDIA CONTACT

Picture of writer Levi Hutmacher

Levi Hutmacher

Multimedia Content Producer

(734) 647-7085

levihut@umich.edu

Explore: Energy & Environment Industrial and Operations Engineering Research Analytics Extreme Weather Risk Management Seth Guikema

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