Mathematical Problems in Engineering / 2016 / Article / Tab 12 / Research Article
Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network Table 12 Average results of one-hour wind speed.
1-step 2-step 3-step 5-step ARIMA MSE (m/s) 1.6354 2.1309 2.5701 3.2735 MAE (m/s) 0.9486 1.0661 1.1516 1.2783 MAPE (%) 15.65 17.61 19.03 21.02 RENN MSE (m/s) 1.2826 1.644 1.9423 2.359 MAE (m/s) 0.7939 0.891 0.9484 1.0233 MAPE (%) 12.92 14.4 15.36 16.67 SSA-PSO-RENN MSE (m/s) 0.71 1.0889 1.4313 1.9642 MAE (m/s) 0.6125 0.73 0.8369 0.9602 MAPE (%) 10.45 12.23 13.86 15.68 BPNN MSE (m/s) 1.3162 1.6523 1.8989 2.285 MAE (m/s) 0.8015 0.9098 0.9719 1.0608 MAPE (%) 13.28 15.02 16.11 17.76 SSA-RENN MSE (m/s) 0.72 1.064 1.3589 1.8034 MAE (m/s) 0.6239 0.7265 0.8203 0.9272 MAPE (%) 10.63 12.26 13.72 15.27 SSA-FAPSO-RENN MSE (m/s) 0.6723 1.0123 1.3551 1.9051 MAE (m/s) 0.6021 0.7043 0.808 0.9482 MAPE (%) 10.23 11.78 13.39 15.5