Mathematical Problems in Engineering / 2015 / Article / Tab 6

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 6

The forecasting results and optimized parameters of the proposed hybrid model EEMD-GA-FAC/SAC in site 3.

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

Observation
site 3
EEMD-GA-FAC0.99960:008.38.876.880.3257 0.5707
1.00002:009.49.103.180.0893 0.2988
0.04134:009.29.200.000.0000 0.0000
1.00006:008.18.140.520.0018 0.0424
0.11898:008.38.300.000.0000 0.0000
0.109510:007.17.647.650.2950 0.5431
0.228012:008.88.800.000.0000 0.0000
0.055314:0010.310.300.000.0000 0.0004
0.091416:0010.110.564.570.2130 0.4615
0.000018:0012.211.485.920.5221 0.7226
0.946520:0012.211.981.770.0467 0.2162
0.238722:001111.000.000.0000 0.0002
EEMD-GA-SAC0.99940:008.38.704.790.1578 0.3973
0.99272:009.49.261.510.0201 0.1419
0.16264:009.29.200.000.0000 0.0000
0.98766:008.18.140.520.0018 0.0424
0.02908:008.38.300.000.0000 0.0000
0.118010:007.17.647.560.2882 0.5368
0.237612:008.88.800.000.0000 0.0000
0.052314:0010.310.300.000.0000 0.0002
0.092816:0010.110.544.330.1910 0.4370
0.999218:0012.211.585.060.3809 0.6171
0.946520:0012.211.981.770.0467 0.2162
0.053622:001111.000.010.0000 0.0008