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Showing 8 results for Researcher: Nils M. Stenvig

  • ORNL Placeholder Image

    December 5, 2023

    3 MIN READ

    Lee's paper at the August conference in Bellevue, Washington, combined weather and power outage data for three states – Texas, Michigan and Hawaii – and used a machine learning model to predict how extreme weather such as thunderstorms, floods and tornadoes would affect local power grids and to estimate the risk for outages. The paper relied on data from the National Weather Service and the U.S. Department of Energy’s Environment for Analysis of Geo-Located Energy Information, or EAGLE-I, database.

  • ORNL Placeholder Image

    February 28, 2020

    6 MIN READ

    Nils Stenvig has always had an interest in solving big problems. That desire drove his focus on electrical engineering in college and eventually led him to Oak Ridge National Laboratory, where today he’s using his expertise to better understand the world’s largest machine—the electrical grid.

  • ORNL Placeholder Image

    February 27, 2020

    6 MIN READ

    Nils Stenvig has always had an interest in solving big problems. That desire drove his focus on electrical engineering in college and eventually led him to Oak Ridge National Laboratory, where today he’s using his expertise to better understand the world’s largest machine—the electrical grid.

  • ORNL Placeholder Image

    March 12, 2019

    4 MIN READ

    As Hurricane Maria swirled out to sea after plowing a destructive path across Puerto Rico in September 2017, initial reports were clear: The island’s power grid lay in near ruin. DOE and its national laboratories immediately got busy, working not only to offer solutions for rebuilding the island’s electricity network but also to make it resilient to future disruption.