High Power Laser and Particle Beams, Volume. 36, Issue 8, 085001(2024)
EMD-FFT-SARIMA photovoltaic power generation prediction model using fast fourier transform optimization cycle parameters
Figures & Tables(12)
Fig. 3. Component period and power diagram after FFT decomposition
Fig. 6. Comparison between EMD-FT-SARIMA predicted values and original values
Table 1.
p ,q parameters selection tableView tableView in ArticleTable 1.
p ,q parameters selection tablemode ACF PACF AR(p) trailing truncated after p-order MA(q) truncated after q-order trailing ARMA(p，q) trailing trailing
Table 2.
p ,q parameters selection
Table 3.
P ,Q parameter selection
Table 4. EMD-SARIMA model prediction error indicators
View tableView in ArticleTable 4. EMD-SARIMA model prediction error indicators
predictive models δRMSE δMAE EMD-SARIMA 120.6 52.87
Table 5. IMF components and cycle values
View tableView in ArticleTable 5. IMF components and cycle values
portion size Tperiod IMF1 36 IMF2 24 IMF3 48 IMF4 48 IMF5 48 IMF6 11001 IMF7 97 IMF8 5004 IMF9 13291 IMF10 13078 IMF11 1764 IMF12 3333 IMF13 7500 IMF14 15000 IMF15 15000
Table 6. EMD-FFT-SARIMA model prediction error indicators
View tableView in ArticleTable 6. EMD-FFT-SARIMA model prediction error indicators
predictive models δRMSE δMAE EMD-FFT-SARIMA 19.3 12.3 EMD-SARIMA 120.6 52.87
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Chuanyu Xiong, Xiaohong Liao, Shiying He, Ran Chen, Wei Wang, Nan Zang, Ying Wang, Menghan Xiao. EMD-FFT-SARIMA photovoltaic power generation prediction model using fast fourier transform optimization cycle parameters[J]. High Power Laser and Particle Beams, 2024, 36(8): 085001
Paper Information
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Received: Oct. 11, 2023
Accepted: Mar. 11, 2024
Published Online: Aug. 8, 2024
The Author Email: He Shiying (shyinghe@ipp.ac.cn)
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