Estimation of global solar radiation using an artificial neural network based on an interpolation technique in southeast China-Reference-Cited by-同舟云学术

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Estimation of global solar radiation using an artificial neural network based on an interpolation technique in southeast China

Published:2016-08 Issue: Volume:146 Page:110-122
ISSN:1364-6826
Container-title:Journal of Atmospheric and Solar-Terrestrial Physics
language:en
Short-container-title:Journal of Atmospheric and Solar-Terrestrial Physics

Author:

Zou Ling,Wang Lunche,Lin Aiwen,Zhu Hongji,Peng Yuling,Zhao Zhenzhen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Space and Planetary Science,Atmospheric Science,Geophysics

Reference75 articles.

1. Construction of a quadratic model using modified Ångstrom coefficients to estimate global solar radiation;Akinoǧlu;Sol. Energy,1990

2. Estimated monthly average global radiation for Turkey and its comparison with observations;Aksoy;Renew. Energy,1997

3. Global solar radiation estimation using sunshine duration in Spain;Almorox;Energy Convers. Manag.,2004

4. Artificial neural network based daily local forecasting for global solar radiation;Amrouche;Appl. Energy,2014

5. Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation;Angstrom;Q. J. R. Meteor. Soc.,1924

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