Ualbany News Podcast

Improving Power Outage Prediction and Response, with Jeff Freedman

Informações:

Sinopsis

Jeff Freedman, a research associate at UAlbany’s Atmospheric Sciences Research Center (ASRC), is working in collaboration with researchers and meteorologists at the Consolidated Edison Company of New York (Con Ed) and MESO, Inc. to create the Wind Extremes Forecast System (WEFS). By combining numerical weather prediction (NWP) modeling with machine learning techniques, the system produces real-time wind speed and gusts forecasts in an effort to minimize power outage impacts for millions of New Yorkers. The project is sponsored by the New York State Research and Development Authority (NYSERDA)’s Smart Grid program and will use data from UAlbany’s NYS Mesonet, a statewide network of 126 weather stations. Freedman shares on this episode of the UAlbany News Podcast how WEFS will help utility companies and emergency managers mobilize resources more efficiently, reduce restoration time and improve the long-term resiliency of the state’s power distribution system. Read more on the project: www.albany.edu/news/91213.