Research Article
Wind Turbine Anomaly Identification Based on Improved Deep Belief Network with SCADA Data
Table 2
Prediction model performance.
| Model classification | Input parameter | Index | RMSE | MAE | MAPE (%) |
| WT generator prediction model | GNT. bearing T. (B) (°C) | 1.62 | 1.55 | 4.57 | WT gearbox prediction model | Gearbox oil sump T. (°C) | 0.75 | 0.58 | 1.05 | Whole WT prediction model | Wind power (kW) | 21.44 | 13.96 | 5.4 |
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