Prediction of Solar Irradiance and Photovoltaic Solar Energy Product Based on Cloud Coverage Estimation Using Machine Learning Methods

Cloud cover estimation from images taken by sky-facing cameras can be an important input for analyzing current weather conditions and estimating photovoltaic power generation. The constant change in position, shape, and density of clouds, however, makes the development of a robust computational meth...

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Egile Nagusiak:	Seongha Park, Yongho Kim, Nicola J. Ferrier, Scott M. Collis, Rajesh Sankaran, Pete H. Beckman
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2021-03-01
Saila:	Atmosphere
Gaiak:	cloud cover estimation solar irradiance estimation solar power product estimation deep learning machine learning ensemble
Sarrera elektronikoa:	https://www.mdpi.com/2073-4433/12/3/395
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