Showing 8 results for Researcher: Sangkeun (Matt) M. Lee
March 4, 2026
6 MIN READ
Researchers at ORNL provided the first comprehensive analysis of the specific costs of power outages to local customers across the nation. The study, incorporated in ORNL’s TASTI-GRID application, helps governments and utilities make decisions about grid modernization to reduce serious risks to public health and safety.
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.
August 4, 2022
3 MIN READ
After nearly seven years of intense development, the URBAN-NET infrastructure quantification tool is being made available to users.
January 6, 2020
1 MIN READ
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.
February 4, 2019
1 MIN READ
Oak Ridge National Laboratory scientists analyzed more than 50 years of data showing puzzlingly inconsistent trends about corrosion of structural alloys in molten salts and found one factor mattered most—salt purity.
January 5, 2016
1 MIN READ
Drawing connections between seemingly disparate and vast amounts of text could become easier thanks to software developed by Oak Ridge National Laboratory.