Research Article
A Compound Structure for Wind Speed Forecasting Using MKLSSVM with Feature Selection and Parameter Optimization
Table 10
Improved percentage obtained by EEMD-HGSA-MKLSSVM over other models with different decomposition method (%).
| Data set | Contrast | | | |
| | Model 4 Model 7 | 45.56 | 45.42 | 46.54 | Model 5 Model 7 | 29.96 | 30.64 | 27.21 | Model 6 Model 7 | 27.48 | 30.78 | 28.87 |
| | Model 4 Model 7 | 47.17 | 51.90 | 50.60 | Model 5 Model 7 | 31.48 | 35.54 | 35.37 | Model 6 Model 7 | 29.11 | 33.65 | 33.63 |
| | Model 4 Model 7 | 48.06 | 50.78 | 52.02 | Model 5 Model 7 | 34.21 | 29.33 | 30.79 | Model 6 Model 7 | 30.68 | 32.81 | 34.32 |
| | Model 4 Model 7 | 46.30 | 48.66 | 48.52 | Model 5 Model 7 | 27.88 | 29.35 | 29.56 | Model 6 Model 7 | 25.72 | 28.99 | 29.29 |
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Model 4 denotes HGSA-LSSVM. Models 5, 6, and 7 denote HGSA-MKLSSVM with WT, EMD, and EEMD, respectively. |