Title :
Wavelet autoregressive forecasting of climatic parameters for photovoltaic systems
Author :
Ben Salah, Chokri ; Ben Mabrouk, Anouar ; Ouali, Mohamed
Author_Institution :
Dept. of Electr. Eng., Nat. Sch. of Eng. of Sfax, Sfax, Tunisia
Abstract :
In this paper wavelet decomposition is combined with autoregressive models to analyze and predict climate time series such as solar radiation and photovoltaic cell temperature. The method is tested on climate parameters for analysis, and solar radiation and cell temperature for prediction. The work effectiveness is evaluated by the prediction of the electric energy produced by a 100 Wp photovoltaic panel. Finally, the performance of predictor is measured by standardized error.
Keywords :
autoregressive processes; forecasting theory; matrix decomposition; photovoltaic cells; photovoltaic power systems; sunlight; time series; wavelet transforms; weather forecasting; climate time series; climatic parameter; electric energy production; photovoltaic cell temperature; photovoltaic panel; photovoltaic system; solar radiation; wavelet autoregressive forecasting; wavelet decomposition; Mathematical model; Photovoltaic systems; Predictive models; Solar radiation; Temperature measurement; Time series analysis; Wavelet analysis; Photovoltaics; Prediction; Solar Radiation and Cell Temperature; Time series; Wavelets;
Conference_Titel :
Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4577-0413-0
DOI :
10.1109/SSD.2011.5767362
