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


Levi Hutmacher
Multimedia Content Producer

Michigan Engineering

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  • Seth Guikema

    Seth Guikema

    Associate Professor of Industrial and Operations Engineering

Jay Guo holds a sheet of flexible transparent conductor on the University of Michigan’s College of Engineering North Campus. The material sandwiches a thin layer of silver between two “dielectric” materials, aluminum oxide and zinc oxide, producing a conductive anti-reflection coating on the sheet of plastic.

Making plastic more transparent while also adding electrical conductivity

Michigan Engineers change the game by making a conductive coating that’s also anti-reflective. | Medium Read