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In order to improve the prediction accuracy of the photovoltaic power prediction model, this paper presents a novel forecasting model, which is the combination between Principal Component Analysis (PCA) and Support Vector Machine (SVM) intelligent algorithm. PCA statistical method used to extract less principal components instead of the original meteorological factor. Then that is as the input of...
in this study, three models namely the linear coefficient model, the Standard ASTM E2527 and the Sandia National Laboratories model, among some methods of the prediction of maximum power have been adequately selected to investigate the performance of a High concentrator photovoltaic (HCPV) system, upon atmospheric conditions such as the direct normal irradiation DNI, the ambient temperature, the wind...
To solve the problem of the variance of the photovoltaic power when photovoltaic power station connect with the power grid, a photovoltaic power predicting model of photovoltaic power station based on double ANNs is proposed in the paper. Wind velocity and wind direction on photovoltaic power station are the key of photovoltaic power predicting, and other circumstance conditions such as temperature,...
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