Research Article
A Compound Structure for Wind Speed Forecasting Using MKLSSVM with Feature Selection and Parameter Optimization
Table 13
Forecasting results by different forecasting model.
| Data set | Models | RMSE (m/s) | MAPE () | MAE (m/s) |
| | Model 11 | 0.7304 | 15.3973 | 0.717 | Model 12 | 0.3499 | 6.2955 | 0.2929 | Model 13 | 0.3614 | 7.5089 | 0.3353 | Model 14 | 0.2787 | 5.457 | 0.2558 |
| | Model 11 | 0.752 | 18.7638 | 0.7344 | Model 12 | 0.3898 | 9.2387 | 0.3638 | Model 13 | 0.4094 | 10.4421 | 0.3869 | Model 14 | 0.2856 | 6.4077 | 0.2538 |
| | Model 11 | 0.7616 | 9.9466 | 0.7445 | Model 12 | 0.3675 | 4.642 | 0.3472 | Model 13 | 0.3839 | 4.6887 | 0.355 | Model 14 | 0.2691 | 3.232 | 0.2392 |
| | Model 11 | 0.7409 | 12.5176 | 0.7193 | Model 12 | 0.3747 | 6.1382 | 0.353 | Model 13 | 0.3832 | 6.3973 | 0.3623 | Model 14 | 0.2903 | 4.5088 | 0.2607 |
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Model 11 denotes Persistence. Model 12 denotes EEMD-HGSA-ELM. Model 13 denotes EEMD-HGSA-SVM. Model 14 denotes EEMD-HGSA-MKLSSVM. |