Table 6 Comparative forecasting performance of different models on the MyPJ dataset under the optimal mini-batch size configuration.
Model | MAPE | MAE | MSE | RMSE | NMSE | R | R2 |
|---|---|---|---|---|---|---|---|
CNN | 0.053767 | 0.026603 | 0.002291 | 0.047865 | 0.080470 | 0.959310 | 0.919530 |
TCN | 0.058103 | 0.030002 | 0.002284 | 0.047789 | 0.080217 | 0.959847 | 0.919783 |
LSTM | 0.054929 | 0.029391 | 0.002264 | 0.047583 | 0.079524 | 0.961677 | 0.920476 |
Transformer | 0.059608 | 0.028453 | 0.002584 | 0.050832 | 0.090756 | 0.956054 | 0.909244 |
Transformer-LSTM | 0.060019 | 0.032521 | 0.002564 | 0.050632 | 0.090045 | 0.959019 | 0.909955 |
CNN-LSTM-MMA | 0.054391 | 0.028353 | 0.002105 | 0.045883 | 0.073944 | 0.963565 | 0.926056 |
DRN | 0.051082 | 0.025190 | 0.002212 | 0.047033 | 0.077698 | 0.960669 | 0.922302 |
PCA-DRN | 0.048943 | 0.024916 | 0.001830 | 0.042777 | 0.064271 | 0.968054 | 0.935729 |