Mathematical Problems in Engineering / 2015 / Article / Tab 5

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 5

The forecasting results and optimized parameters of the proposed hybrid model EEMD-GA-FAC/SAC in site 2.

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

Observation
site 2
EEMD-GA-FAC0.04250:007.36.994.310.09920.3149
0.99572:008.58.302.340.03950.1988
0.24334:008.18.100.000.00000.0001
0.03726:0088.232.890.05360.2315
0.01878:007.27.200.020.00000.0013
0.195910:0077.000.000.00000.0001
0.248112:008.47.905.890.24500.4950
0.000014:0011.611.421.590.03420.1849
0.000016:008.99.577.480.44280.6654
1.000018:0010.910.404.620.25410.5041
0.806120:0010.610.923.060.10520.3243
0.000022:0011.411.450.450.00260.0508
EEMD-GA-SAC0.62010:007.36.727.980.33940.5826
1.00002:008.58.391.280.01180.1086
0.25614:008.18.100.000.00000.0000
0.03796:0088.192.350.03540.1882
0.39398:007.26.637.980.33010.5746
0.020910:0076.586.040.17860.4226
0.014912:008.47.0516.121.83331.3540
0.021014:0011.610.598.701.01771.0088
0.999016:008.99.476.450.33000.5745
1.000018:0010.911.051.420.02400.1548
1.000020:0010.610.963.410.13060.3614
0.000022:0011.411.390.060.00010.0073