Research Article
A Method Based on Numerical Wind Field and Extreme Learning Machine for Typhoon Wind Speed Prediction of Wind Farm
Table 2
The overall RMSE of typhoon key parameter prediction.
| Key parameter | 1 h ahead | 2 h ahead | 3 h ahead | 4 h ahead | 5 h ahead | 6 h ahead |
| Vmax | 1.730064 | 2.563183 | 3.569731 | 4.43167 | 5.274586 | 5.973571 | Pair | 2.715035 | 3.783636 | 5.132059 | 6.172818 | 7.148655 | 8.036933 | | 2.468804 | 2.990488 | 3.19536 | 3.716567 | 4.315859 | 4.417815 | θ | 19.92125 | 20.02723 | 21.53194 | 23.19538 | 28.60333 | 30.37751 | φltd | 0.11604 | 0.18525 | 0.239314 | 0.302295 | 0.384715 | 0.4521 | φlgd | 0.072334 | 0.106627 | 0.143203 | 0.180261 | 0.231382 | 0.293897 |
|
|
Note: from 9:00, September 16, 2018, to 6:00, September 17, 2018.
|