Operating re-configurable solar energy generators for increasing yield during non-ideal weather conditions

摘要

Methods, systems, and computer program products for operating re-configurable solar energy generators for increasing yield during non-ideal weather conditions are provided herein. A computer-implemented method includes determining, for each of multiple portions of the sky, by using one or more machine learning algorithms, a respective level of diffuse irradiance corresponding to image data from that portion; identifying one or more portions of the image data corresponding to the multiple portions of sky image data that include a higher level of diffuse irradiance, as compared to other portions of the image data; and configuring one or more solar photovoltaic modules based at least in part on the one or more identified portions of image data that include a higher level of diffuse irradiance.