Research Article
Short-Term Wind Speed Forecasting Based on Ensemble Online Sequential Extreme Learning Machine and Bayesian Optimization
Table 3
Estimation prediction result for wind speed series 2.
| Model | MAE (m/s) | MAPE (%) | RMSE (m/s) | Time (s) |
| GPR | 0.50 | 25.49 | 0.63 | 46.87 | LSSVR | 0.48 | 22.40 | 0.63 | 2.28 | LSTM | 0.50 | 23.77 | 0.65 | 140.12 | OSELM | 0.54 | 64.95 | 0.70 | 0.01 | AdaBoost-OSELM | 0.64 | 33.50 | 0.78 | 2.56 | Bagging-OSELM | 0.49 | 23.15 | 0.62 | 1.37 | BBA-OSELM | 0.48 | 24.08 | 0.62 | 29.10 | BO-OSELM | 0.29 | 14.22 | 0.41 | 98.15 | PSO-OSELM | 0.48 | 21.86 | 0.64 | 56.09 | EMD-BBA-OSELM | 0.35 | 18.34 | 0.44 | 244.43 | EEMD-BBA-OSELM | 0.24 | 11.26 | 0.31 | 243.41 | VMD-BBA-OSELM | 0.16 | 7.32 | 0.20 | 336.10 | VMD-BBA-EnsOSELM | 0.14 | 6.74 | 0.17 | 536.68 |
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