Mathematical Problems in Engineering / 2015 / Article / Tab 3

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 3

The forecasting results of EEMD-FAC/SAC model in three sites.

TimeActual value (m/s)EEMD-FACEEMD-SAC
Forecasting value (m/s)MAPE (%)Forecasting value (m/s)MAPE (%)

Observation
site 1
0:006.76.660.666.680.26
2:008.47.708.307.708.38
4:008.57.818.097.808.29
6:006.97.133.297.133.36
8:006.86.740.886.800.07
10:006.96.880.286.831.07
12:008.37.924.557.904.76
14:0010.610.610.1010.610.13
16:009.69.822.279.832.38
18:0011.711.720.1711.700.02
20:0010.310.602.9010.602.95
22:00129.5020.839.5020.86

Observation
site 2
0:007.36.708.236.708.21
2:008.58.292.478.292.48
4:008.18.001.267.961.76
6:0088.708.818.668.22
8:007.26.588.636.588.58
10:0077.010.186.970.46
12:008.47.866.487.856.51
14:0011.611.163.8111.134.09
16:008.99.739.309.769.62
18:0010.99.7110.899.7510.58
20:0010.611.165.3311.185.45
22:0011.412.065.8012.126.28

Observation
site 3
0:008.39.1610.379.1910.68
2:009.49.014.168.994.33
4:009.29.290.949.260.66
6:008.18.170.878.170.92
8:008.38.380.938.380.90
10:007.17.8810.967.8510.54
12:008.88.800.048.790.06
14:0010.39.973.249.992.97
16:0010.111.008.8910.988.71
18:0012.211.456.1911.446.20
20:0012.211.634.6311.614.83
22:001110.841.4910.801.82