Research Article
Short-Term Wind Speed Forecasting Based on Ensemble Online Sequential Extreme Learning Machine and Bayesian Optimization
Table 4
Improving percentages of the comparison models by the proposed model for wind speed series 1.
| Model | PMAE (%) | PMAPE (%) | PRMSE (%) |
| VMD-BBA-EnsOSELM vs. GPR | 67.69 | 63.72 | 68.72 | VMD-BBA-EnsOSELM vs. LSSVR | 66.53 | 65.79 | 65.68 | VMD-BBA-EnsOSELM vs. LSTM | 67.93 | 65.40 | 67.37 | VMD-BBA-EnsOSELM vs. OSELM | 68.56 | 82.66 | 69.27 | VMD-BBA-EnsOSELM vs. AdaBoost-OSELM | 63.15 | 60.84 | 63.49 | VMD-BBA-EnsOSELM vs. Bagging-OSELM | 62.81 | 58.92 | 63.67 | VMD-BBA-EnsOSELM vs. BBA-OSELM | 63.34 | 59.99 | 64.29 | VMD-BBA-EnsOSELM vs. BO-OSELM | 47.55 | 47.47 | 49.02 | VMD-BBA-EnsOSELM vs. PSO-OSELM | 64.81 | 63.11 | 64.67 | VMD-BBA-EnsOSELM vs. EMD-BBA-OSELM | 58.87 | 59.57 | 59.44 | VMD-BBA-EnsOSELM vs. EEMD-BBA-OSELM | 23.86 | 23.84 | 24.77 | VMD-BBA-EnsOSELM vs. VMD-BBA-OSELM | 33.36 | 32.39 | 32.35 |
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