Application of rapid miner in ANN based prediction of solar radiation for assessment of solar energy resource potential of 76 sites in Northwestern India

Renewable and Sustainable Energy Reviews

Volumn 52, Issue , 2015, Pages 1093-1106

  Yadav, Amit Kumar ^a   Malik, Hasmat ^b   Chandel, S S ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b NETAJI SUBHAS INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural network; Generalized Regression Neural Network; Radial Basis Function Neural Network; Rapid Miner; Solar radiation prediction

Indexed keywords

FORECASTING; FUNCTIONS; RADIAL BASIS FUNCTION NETWORKS; SOLAR ENERGY; SOLAR RADIATION;

FITTING TOOLS; GENERALIZED REGRESSION; GENERALIZED REGRESSION NEURAL NETWORK; GUJARAT; INPUT PARAMETER; RADIAL BASIS FUNCTION NEURAL NETWORKS (RBF); RAJASTHAN; RAPID MINER; REGRESSION NEURAL NETWORKS; SOLAR RADIATION PREDICTIONS;

MINERS;

EID: 84939792235     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2015.07.156     Document Type: Review

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