TY - GEN

T1 - Daily solar radiation prediction based on wavelet analysis

AU - Zhang, Peng

AU - Takano, Hirotaka

AU - Murata, Junichi

PY - 2011

Y1 - 2011

N2 - Solar radiation is an important factor in forecasting outputs of photovoltaic power systems. A method for solar radiation prediction is proposed based on wavelet transform. The data, including solar radiation and potential input variables, are decomposed into several time-frequency areas via wavelet transform. Given that some variables are relevant in some areas of solar radiation but irrelevant in other areas, we extract input variables from candidates separately in each time-frequency area. We perform principal component analysis (PCA) to extract principal components from input variables and we find their relations to the solar radiation are linear by visualization. Thus, linear regression equation is built to each area respectively, and the final result is the summation of predicted solar radiation from each time-frequency area. A comparison with the method using the same input variables in all time-frequency areas is presented and the results of our proposed method are more accurate.

AB - Solar radiation is an important factor in forecasting outputs of photovoltaic power systems. A method for solar radiation prediction is proposed based on wavelet transform. The data, including solar radiation and potential input variables, are decomposed into several time-frequency areas via wavelet transform. Given that some variables are relevant in some areas of solar radiation but irrelevant in other areas, we extract input variables from candidates separately in each time-frequency area. We perform principal component analysis (PCA) to extract principal components from input variables and we find their relations to the solar radiation are linear by visualization. Thus, linear regression equation is built to each area respectively, and the final result is the summation of predicted solar radiation from each time-frequency area. A comparison with the method using the same input variables in all time-frequency areas is presented and the results of our proposed method are more accurate.

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M3 - Conference contribution

AN - SCOPUS:81255192254

SN - 9784907764395

T3 - Proceedings of the SICE Annual Conference

SP - 712

EP - 717

BT - SICE 2011 - SICE Annual Conference 2011, Final Program and Abstracts

PB - Society of Instrument and Control Engineers (SICE)

T2 - 50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011

Y2 - 13 September 2011 through 18 September 2011

ER -