Research Article
Broad Echo State Network with Reservoir Pruning for Nonstationary Time Series Prediction
Table 5
Evaluation indexes of each model in the US power load dataset.
| Model | Training time | SMAPE | MAE | RMSE | R2 |
| ESN | 3.8098 | 0.0529 | 1453.4936 | 1915.5536 | 0.3696 | BLS | 0.1380 | 0.0332 | 909.3070 | 1311.3357 | 0.7045 | GRU | 169.8198 | 0.0390 | 1127.0565 | 1432.7877 | 0.6473 | LSTM | 152.8951 | 0.0410 | 1190.1022 | 1510.7332 | 0.6079 | BESN | 77.2083 | 0.0358 | 1055.7738 | 1386.5070 | 0.6697 | BPESN | 109.9256 | 0.0297 | 875.2953 | 1175.4368 | 0.7626 |
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