Innovative second-generation wavelets construction with recurrent neural networks for solar radiation forecasting

IEEE Transactions on Neural Networks and Learning Systems

Volumn 23, Issue 11, 2012, Pages 1805-1815

  Capizzi, Giacomo ^a   Napoli, Christian ^a   Bonanno, Francesco ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

Methodological time series; photovoltaic (PV) module; prediction; recurrent neural networks (RNNs); second generation wavelets; solar radiation; wavelet theory

Indexed keywords

INVERSE WAVELET TRANSFORMS; PHOTOVOLTAIC MODULES; RECURRENT NEURAL NETWORK (RNNS); ROOT-MEAN SQUARE ERRORS; SECOND GENERATION WAVELET; SOLAR RADIATION FORECASTING; SOLAR RADIATION PREDICTIONS; WAVELET THEORY;

FORECASTING; METEOROLOGY; RECURRENT NEURAL NETWORKS; SOLAR RADIATION; TIME SERIES; WAVELET TRANSFORMS;

SUN;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; FORECASTING; HUMAN; SOLAR ENERGY; WAVELET ANALYSIS;

ALGORITHMS; FORECASTING; HUMANS; NEURAL NETWORKS (COMPUTER); SOLAR ENERGY; WAVELET ANALYSIS;

EID: 84876927836     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2012.2216546     Document Type: Article

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