Research Article
A New Hybrid Model Based on an Intelligent Optimization Algorithm and a Data Denoising Method to Make Wind Speed Predication
Table 3
The forecasting results of June from observation site 1 on a given time interval.
| Date June | Time (h) | Actual value | BPANN | ARIMA | WT-ARIMA | WAFSA-BPANN | Forecasting | MAPE (%) | Forecasting | MAPE (%) | Forecasting | MAPE (%) | Forecasting | MAPE (%) |
| June. 1 | 0:00 6:00 12:00 18:00 | 2.9 3.7 2.6 1.8 | 4.423 2.748 3.235 2.309 | 52.508 25.728 24.425 28.265 | 4.293 2.653 3.144 2.138 | 48.044 28.287 20.929 18.759 | 3.292 2.540 3.126 2.078 | 13.530 31.358 20.230 15.423 | 3.529 3.387 2.991 2.151 | 21.693 8.449 15.027 19.499 |
| June. 2 | 0:00 6:00 12:00 18:00 | 1.6 0.7 6.1 9.5 | 1.690 1.389 6.150 9.949 | 5.632 98.435 0.817 4.728 | 1.464 1.091 6.133 9.949 | 8.529 55.881 0.537 4.726 | 1.385 1.105 6.247 10.032 | 13.407 57.881 2.403 5.595 | 1.730 1.543 6.261 9.857 | 8.116 120.427 2.636 3.758 |
| June. 3 | 0:00 6:00 12:00 18:00 | 10.8 12 8.9 2.4 | 10.788 12.724 9.151 1.813 | 0.112 6.034 2.815 24.455 | 10.685 12.742 9.332 1.785 | 1.063 6.183 4.859 25.627 | 10.748 12.790 9.199 1.631 | 0.481 6.581 3.357 32.040 | 10.982 12.276 9.304 2.172 | 1.684 2.300 4.542 9.482 |
| June. 4 | 0:00 6:00 12:00 18:00 | 2.4 1.9 2.9 5.4 | 2.376 2.143 3.028 4.435 | 0.983 12.795 4.404 17.873 | 2.200 1.901 2.844 4.395 | 8.338 0.049 1.943 18.611 | 2.207 1.900 2.915 4.410 | 8.022 0.024 0.504 18.337 | 2.340 1.922 2.872 4.398 | 2.509 1.150 0.970 18.551 |
| June. 5 | 0:00 6:00 12:00 18:00 | 8 1.3 2.2 5.9 | 7.444 1.570 2.652 5.879 | 6.956 20.753 20.543 0.351 | 7.369 1.400 2.482 5.781 | 7.886 7.701 12.801 2.015 | 7.566 1.269 2.487 5.895 | 5.429 2.365 13.066 0.081 | 7.321 1.763 2.665 5.704 | 8.491 35.644 21.118 3.321 |
| June. 6 | 0:00 6:00 12:00 18:00 | 7.8 8.3 9.5 14.2 | 7.861 8.286 8.627 12.340 | 0.776 0.167 9.190 13.098 | 7.841 8.312 8.635 12.331 | 0.525 0.150 9.106 13.165 | 7.884 8.277 8.702 12.412 | 1.081 0.283 8.398 12.593 | 8.072 8.431 9.268 12.911 | 3.482 1.581 2.443 9.078 |
| June. 7 | 0:00 6:00 12:00 18:00 | 11.4 7 7.3 10.3 | 10.582 6.839 6.744 10.616 | 7.179 2.302 7.614 3.068 | 10.742 6.859 6.845 10.546 | 5.775 2.014 6.235 2.388 | 10.578 6.914 6.794 10.748 | 7.214 1.229 6.938 4.348 | 11.174 6.988 7.374 10.445 | 1.982 0.175 1.013 1.404 |
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