TABLE VII.
Comparison of EE Estimation with Different Machine Learning Algorithms and Metrics
| Algorithm | RMSE (MET) | MAPE (%) | MAE (MET) |
|---|---|---|---|
| LSTM DL | 0.509 | 12.086 | 0.254 |
| k-NN | 0.520 | 14.763 | 0.335 |
| SVM | 0.537 | 13.174 | 0.264 |
| LR | 0.533 | 12.954 | 0.262 |
| NB | 0.610 | 15.603 | 0.464 |
| GPR | 0.534 | 12.880 | 0.261 |
| EL | 0.608 | 14.029 | 0.437 |
| DT | 1.539 | 25.157 | 0.961 |