Prediction of monthly mean daily diffuse solar radiation using artificial neural networks and comparison with other empirical models

Energy Policy

Volumn 36, Issue 10, 2008, Pages 3833-3837

  Jiang, Yingni ^a,b  

^a ENGINEERING COLLEGE OF ARMED POLICE FORCE   (China)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Artificial neural networks; Monthly mean daily diffuse radiation; Monthly mean daily global radiation

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; COMPUTER NETWORKS; ELECTROMAGNETIC WAVES; ESTIMATION; REGRESSION ANALYSIS; SOLAR RADIATION; SUN; VEGETATION;

ANN MODELING; ARTIFICIAL NEURAL NETWORKS; MONTHLY MEAN DAILY DIFFUSE RADIATION; MONTHLY MEAN DAILY GLOBAL RADIATION;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; CLIMATE CONDITIONS; EMPIRICAL ANALYSIS; ERROR ANALYSIS; MODELING; PREDICTION; REGRESSION ANALYSIS; SOLAR RADIATION;

ASIA; CHINA; EURASIA; FAR EAST; HENAN; ZHENGZHOU;

EID: 51349143456     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2008.06.030     Document Type: Article

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