Cornell University researchers have developed a machine learning model designed to predict how smoke from wildfires might affect solar farm power production. The model forecasts the severity of wildfire conditions and their impact on solar electricity generation. This innovation aims to help solar farm operators plan better by matching power supply with demand during wildfire events, potentially reducing costs. The research was conducted at Cornell University in Ithaca and is shared on Cornell.edu/Research.

Source: Cornell University

Source Type: College

Source Location: Ithaca

Ithaca, NY

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