Research Article
A Compound Structure for Wind Speed Forecasting Using MKLSSVM with Feature Selection and Parameter Optimization
Table 6
Forecasting results by EEMD-HGSA-LSSVM based on different kernel function.
| Data set | Models | RMSE () | MAPE () | MAE () |
| A | Model 1 | 0.2858 | 5.6439 | 0.2597 | Model 2 | 0.2957 | 5.8311 | 0.2673 | Model 3 | 0.2787 | 5.457 | 0.2558 |
| B | Model 1 | 0.2938 | 6.8854 | 0.274 | Model 2 | 0.3025 | 7.4624 | 0.2786 | Model 3 | 0.2856 | 6.4077 | 0.2538 |
| C | Model 1 | 0.2801 | 3.433 | 0.2607 | Model 2 | 0.2907 | 3.382 | 0.2546 | Model 3 | 0.2691 | 3.232 | 0.2392 |
| D | Model 1 | 0.2994 | 4.9216 | 0.2819 | Model 2 | 0.3108 | 4.9586 | 0.2865 | Model 3 | 0.2903 | 4.5088 | 0.2607 |
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Models 1, 2, and 3 denote EEMD-HGSA-LSSVM based on RBF, Poly, and multikernel function, respectively. |