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Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production

This dataset was used to support machine learning model development for wildfire impacts on utility-scale solar in the United States. The dataset includes information regarding energy generation, PM2.5, clearness index, temperature, wind speed, precipitation, and site size.
Gilletly, S. et al Sandia National Laboratories
May 15, 2023
3 Resources
0 Stars
Publicly accessible

WIND-Bench: A Benchmark Dataset for In-Situ Near-Surface Wind Speed Across the Conterminous United States

Accurate wind forecasts are essential for operational decision-making and public safety, yet forecasts tend to miss near-surface high wind speeds in complex terrain. In response, recent advances in machine learning (ML) weather prediction methods have demonstrated the ability to i...
Bazlen, K. et al National Laboratory of the Rockies (NLR)
Jul 16, 2026
5 Resources
0 Stars
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Fire Weather Index Historical Trends and Projections over CONUS

There has been evidence of increasing fire activity in the United States since approximately the 1980s, now estimated to cause tens to hundreds of billions of dollars of damage per year. Weather is one of the key drivers of fire activity, with hot, dry, and windy weather commonly ...
Buster, G. et al National Laboratory of the Rockies (NLR)
Aug 04, 2026
6 Resources
0 Stars
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