Abstract:Global solar irradiation data is a crucial component to measure solar energy
potential when we plan, size, and design solar photovoltaic fields. Often,
due to the absence of measuring equipment at meteorological stations, data
for the place of interest are not available. However, solar irradiation can
be estimated by ordinary meteorological data such as humidity, and air
temperature. Herein we propose two different deep learning methods, one
based on a deep neural network regression and the o… Show more
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