Research Article
The Forecasting Procedure for Long-Term Wind Speed in the Zhangye Area
Table 6
The errors of Support Vector Machine (SVM).
| | SVM model | | MAE | MRE |
| Spring | 0.601531 | 31.0383% | Summer | 0.684802 | 32.998% | Autumn | 0.421253 | 26.6653% | Winter | 0.567566 | 40.8079% |
| Total error | 0.568519 | 32.8925% |
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