Research Article
A Simple Method of Residential Electricity Load Forecasting by Improved Bayesian Neural Networks
Table 5
Results of BNN_0.5h, BNN_12h, and BNN_24h.
| | Model | Training set (60%) | Test set (20%) | Computing time (s) | | MSE | R | MAPE | MSE | R | MAPE | | (%) | (%) |
| | BNN_0.5h | 8.35e-2 | 8.90e-1 | 10.62 | 8.71e-2 | 8.86e-1 | 10.65 | 7 | | BNN_1h | 1.32e-1 | 8.20e-1 | 12.26 | 1.37e-1 | 8.15e-1 | 13.00 | 12 | | BNN_4h | 1.80e-1 | 7.43e-1 | 14.41 | 1.91e-1 | 7.31e-1 | 14.47 | 26 | | BNN_12h | 1.84e-1 | 7.39e-1 | 14.45 | 1.83e-1 | 7.32e-1 | 14.77 | 8 | | BNN_24h | 1.82e-1 | 7.43e-1 | 14.41 | 1.84e-1 | 7.30e-1 | 14.56 | 12 |
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