# News

                                Sholl selected as UT-ORII executive director                            

                                Dealing with stress in large-scale additive manufacturing                            

                                Dilling named associate laboratory director for neutron sciences                             

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## CCSD’s Lee wins best poster for storm risk study

December 5, 2023

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.

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