Research Article
A Hybrid Wavelet Transform Based Short-Term Wind Speed Forecasting Approach
Table 5
The prediction results using PM, ONN, TNN, and WTT-TNN.
| Case | Errors | PM | ONN | TNN | WTT-TNN |
| Spring | MAE (m/s) | 0.7021 | 0.6384 | 0.5866 | 0.2659 | RMSE | 0.9178 | 0.8520 | 0.8019 | 0.3317 | MAPE | 0.4961 | 0.4748 | 0.3949 | 0.1999 |
| Summer | MAE (m/s) | 0.6535 | 0.6124 | 0.6040 | 0.2595 | RMSE | 0.8903 | 0.8218 | 0.8106 | 0.3345 | MAPE | 0.4872 | 0.4653 | 0.3855 | 0.1891 |
| Fall | MAE (m/s) | 0.7015 | 0.6302 | 0.4767 | 0.2312 | RMSE | 0.6942 | 0.6745 | 0.6514 | 0.4540 | MAPE | 0.3535 | 0.3267 | 0.2820 | 0.1769 |
| Winter | MAE | 0.7076 | 0.6275 | 0.5918 | 0.2702 | RMSE | 0.8101 | 0.7666 | 0.7398 | 0.3967 | MAPE | 0.4436 | 0.4083 | 0.3566 | 0.1949 |
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