Research Article
Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization
Table 3
The indicators of different models in the same test set.
| Model | RMSE | NRMSE | MAE | SMAPE | R |
| RNN [40] | 905.4590 | 0.0790 | 677.6044 | 0.0460 | 0.9241 | LSTM [41] | 835.8678 | 0.0614 | 630.6519 | 0.0439 | 0.9381 | GRU [42] | 805.0688 | 0.0707 | 599.9143 | 0.0406 | 0.9471 | STL-RNN | 851.9837 | 0.0759 | 664.7142 | 0.0452 | 0.9387 | STL-LSTM [43] | 771.5973 | 0.0594 | 579.3349 | 0.0391 | 0.9452 | STL-GRU [8] | 747.3044 | 0.0560 | 554.4263 | 0.0381 | 0.9503 | W-LSTM [44] | 837.0609 | 0.0648 | 705.9575 | 0.0491 | 0.9343 | The proposed method | 676.6433 | 0.0572 | 486.0197 | 0.0328 | 0.9575 |
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