Research Article
Short-Term Wind Speed Forecasting Based on Ensemble Online Sequential Extreme Learning Machine and Bayesian Optimization
Table 5
Improving percentages of the comparison models by the proposed model for wind speed series 2.
| Model | PMAE (%) | PMAPE (%) | PRMSE (%) |
| VMD-BBA-EnsOSELM vs. GPR | 72.97 | 73.56 | 73.52 | VMD-BBA-EnsOSELM vs. LSSVR | 71.79 | 69.92 | 73.27 | VMD-BBA-EnsOSELM vs. LSTM | 72.80 | 71.65 | 74.06 | VMD-BBA-EnsOSELM vs. OSELM | 74.85 | 89.62 | 76.04 | VMD-BBA-EnsOSELM vs. AdaBoost-OSELM | 78.71 | 79.88 | 78.49 | VMD-BBA-EnsOSELM vs. Bagging-OSELM | 72.05 | 70.89 | 72.92 | VMD-BBA-EnsOSELM vs. BBA-OSELM | 71.87 | 72.01 | 72.82 | VMD-BBA-EnsOSELM vs. BO-OSELM | 53.72 | 52.60 | 59.35 | VMD-BBA-EnsOSELM vs. PSO-OSELM | 71.74 | 69.17 | 74.02 | VMD-BBA-EnsOSELM vs. EMD-BBA-OSELM | 61.16 | 63.25 | 61.85 | VMD-BBA-EnsOSELM vs. EEMD-BBA-OSELM | 42.90 | 40.14 | 46.86 | VMD-BBA-EnsOSELM vs. VMD-BBA-OSELM | 17.25 | 7.93 | 18.26 |
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