Mathematical Problems in Engineering / 2015 / Article / Tab 4

Research Article

Research and Application of a New Hybrid Forecasting Model Based on Genetic Algorithm Optimization: A Case Study of Shandong Wind Farm in China

Table 4

The forecasting results and optimized parameters of the proposed hybrid model EEMD-GA-FAC/SAC in site 1.

TimeActual value (m/s)Forecasting value (m/s)MAPE (%)MSE (m2/s2)MAE (m/s)

Observation
site 1
EEMD-GA-FAC0.17290:006.76.700.000.00000.0001
0.00002:008.47.777.500.39740.6304
0.55874:008.57.936.750.32930.5739
0.00006:006.97.102.890.03960.1991
0.17778:006.86.800.000.00000.0000
0.205910:006.96.900.000.00000.0000
0.999412:008.38.013.470.08280.2877
0.144514:0010.610.600.000.00000.0000
0.000016:009.69.761.660.02530.1591
0.192718:0011.711.700.000.00000.0001
0.000020:0010.310.330.340.00120.0345
0.019122:001210.2214.803.15271.7756
EEMD-GA-SAC0.18890:006.76.700.000.00000.0001
0.00002:008.48.034.390.13630.3692
0.56374:008.57.936.750.32950.5740
0.00006:006.97.011.610.01240.1113
0.19818:006.86.800.000.00000.0000
0.222810:006.96.900.000.00000.0001
0.000012:008.38.023.400.07950.2819
0.138614:0010.610.600.000.00000.0000
0.001816:009.69.580.230.00050.0217
0.199318:0011.711.700.000.00000.0000
1.000020:0010.310.330.340.00120.0345
0.020122:001210.2514.613.07361.7532