Research Article
Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems
Table 12
Electric load consumption forecasting performances of different approaches.
| Method | Error type | | MAE | RMSE | MSE | MAPE | Maximal error |
| Single ANN | 34.42 | 42.31 | 1789.95 | 39.00 | 93.45 |
| Combined ANN | | | | | | Averaged | 30.67 | 38.18 | 1457.48 | 39.66 | 73.15 | MAE weighted | 30.55 | 38.05 | 1448.13 | 39.57 | 72.93 | RMSE weighted | 30.53 | 38.00 | 1443.75 | 38.43 | 72.85 | MSE weighted | 29.72 | 37.28 | 1389.59 | 39.52 | 72.49 |
| Combined ANN-LIN.REG. | | | | | | MAE weighted | 35.49 | 41.59 | 1729.46 | 50.78 | 87.10 | RMSE weighted | 35.83 | 41.94 | 1759.12 | 51.42 | 87.45 | MSE weighted | 37.58 | 43.49 | 1897.06 | 54.26 | 87.63 |
| SARIMA | 28.27 | 35.13 | 1234.13 | 42.38 | 85.18 |
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