Mathematical Problems in Engineering / 2016 / Article / Tab 8 / Research Article
Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network Table 8 Average results of the 10 min wind speed.
1-step 2-step 3-step 5-step ARIMA MSE (m/s) 0.6668 0.9287 1.164 1.4469 MAE (m/s) 0.5916 0.6914 0.7619 0.8602 MAPE (%) 8.33 9.64 10.61 11.92 RENN MSE (m/s) 0.6191 0.8198 0.9958 1.2446 MAE (m/s) 0.5865 0.6666 0.7291 0.8116 MAPE (%) 8.12 9.14 9.97 10.25 SSA-PSO-RENN MSE (m/s) 0.2614 0.4663 0.6989 1.0604 MAE (m/s) 0.388 0.5017 0.6021 0.7397 MAPE (%) 5.1436 6.5611 7.8166 9.5465 BPNN MSE (m/s) 0.6854 0.955 1.2046 1.5546 MAE (m/s) 0.6149 0.7192 0.8004 0.9125 MAPE (%) 7.94 9.22 10.23 11.58 SSA-RENN MSE (m/s) 0.2664 0.4687 0.6975 1.0421 MAE (m/s) 0.3929 0.5027 0.6006 0.735 MAPE (%) 5.21 6.57 7.8 9.52 SSA-FAPSO-RENN MSE (m/s) 0.253 0.4479 0.6743 1.0256 MAE (m/s) 0.3819 0.4918 0.592 0.7306 MAPE (%) 5.0657 6.4264 7.6869 9.4487