Researchers at Cornell University have created a machine learning-based model that can better forecast the impacts wildfires have on solar electricity generation.
They say it will enable system operators to better match supply with demand and keep costs down by not running generators. Researchers say this will matter more in the future as the number of wildfires increases.
For more information, visit the Cornell Chronicle.
