Short term solar irradiance forecasting using a mixed wavelet neural network

Renewable Energy

Volumn 90, Issue , 2016, Pages 481-492

  Sharma, Vishal ^a   Yang, Dazhi ^b   Walsh, Wilfred ^a   Reindl, Thomas ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SINGAPORE INSTITUTE OF MANUFACTURING TECHNOLOGY   (Singapore)

Author keywords

Neural networks; Solar irradiance; Tropics; Variability; Wavelets

Indexed keywords

DEREGULATION; ELECTRIC POWER TRANSMISSION NETWORKS; FORECASTING; NEURAL NETWORKS; SMART POWER GRIDS; SOLAR RADIATION; TROPICS;

DEREGULATED ELECTRICITY MARKET; ENVIRONMENTAL PARAMETER; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; FORECASTING TECHNIQUES; SOLAR IRRADIANCES; VARIABILITY; WAVELET NEURAL NETWORKS; WAVELETS;

WAVELET TRANSFORMS;

ARTIFICIAL NEURAL NETWORK; COMPRESSION; FORECASTING METHOD; PHOTOVOLTAIC SYSTEM; SOLAR POWER; SOLAR RADIATION; TROPICAL REGION; WAVELET ANALYSIS;

SINGAPORE [SOUTHEAST ASIA];

EID: 84955251398     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2016.01.020     Document Type: Article

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