• Skip to primary navigation
  • Skip to main content
  • Skip to footer
Industrial and Operations Engineering
  • Current Students
  • Events
  • Giving
  • Intranet

Search

  • About
    • Overview
    • Message from the Chair
    • Mission & Values
    • Diversity, Equity and Inclusion
    • Reporting Concerns and Misconduct
    • Facts & Figures
      • Professional Memberships & Awards
      • Staff Awards
    • History
    • Contact Us
      • Industry & Media
  • News
  • Research
    • Applications
      • Business Operations and Analytics
      • Energy and Sustainability
      • Health and Human Safety
      • Mobility and Transportation Networks
    • Methodologies
      • Data Analytics
      • Human Systems Integration
      • Optimization
      • Stochastic Systems
    • Labs & Facilities
  • Undergraduate
    • Admissions Requirements
    • Planning and Advising
    • Areas of Study
    • Minors, Concentrations & Programs
    • Scholarships
      • Past Scholarship Recipients
    • IOE ABET Information
  • Graduate
    • Master’s Program
      • Master’s Applications
      • Master’s Admissions & Planning
      • Master’s Programs & Curriculum
    • PhD Program
      • PhD Applications
      • PhD Admissions & Planning
      • PhD Programs & Curriculum
    • FAQs
    • Combined Graduate Programs
  • People
    • Administration
    • Faculty
    • Staff
    • Doctoral Students
  • Alumni & Partners
    • Join Our Alumni Network
    • Giving
    • Alumni Events
    • Alumni Merit Award
    • Current Students
    • Events
    • Giving
    • Intranet

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: Michigan Engineering

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.

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

Footer

  • Giving
  • Sign-up for our newsletter
  • Instagram
  • LinkedIn
  • Twitter
  • Graduate Programs
  • Faculty Directory
  • Careers
  • U-M Engineering Home
  • CoE Intranet
  • Strategic Vision
  • IOE ABET Information

© 2021 The Regents of the University of Michigan Ann Arbor, MI 48109 USA

Privacy Policy | Non-Discrimination Policy | Campus Safety