Operating Re-Configurable Solar Energy Generators for Increasing Yield During Non-Ideal Weather Conditions
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United States of America
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Jan 9, 2020
app pub date -
Jul 9, 2018
filing date -
Jul 9, 2018
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Abstract
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.
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