Machine learning identifies hidden factors that affect solar farms during severe weather

Sandia National Laboratories researchers combined large sets of real-world solar data and advanced machine learning to study the impacts of severe weather on U.S. solar farms, and sort out what factors affect energy generation. Their results were published earlier this month in the scientific journal Applied Energy.

from Energy & Green Tech News - Energy Sciences News, Green Tech, Energy, Energy Science https://ift.tt/3mRp5PI

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