Machine learning regressors for solar radiation estimation from satellite data-Reference-Cited by-同舟云学术

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Machine learning regressors for solar radiation estimation from satellite data

Published:2019-05 Issue: Volume:183 Page:768-775
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Cornejo-Bueno L.,Casanova-Mateo C.,Sanz-Justo J.,Salcedo-Sanz S.

Funder

Ministerio de Economía y Competitividad of Spain

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Reference42 articles.

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2. MSG’s SEVIRI instrument;Aminou;ESA Bulletin,2002

3. Prediction of daily and mean monthly global solar radiation using support vector machine in an arid climate;Belaid;Energy Convers. Manage.,2016

4. Radial Basis Function Network-based prediction of global solar radiation data: application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia;Benghanem;Energy,2010

5. A Simplified Clear Sky Model for Direct and Diffuse Insolation on Horizontal Surfaces, SERI/TR-642-761;Bird,1981

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