Table 1.
Table of model prediction results.
| City | Time | Model | R2 | MAE | MBE | RMSE | MAPE |
|---|---|---|---|---|---|---|---|
| Nanchang | Spring | L-solely | 0.92034 | 1.8058 | 0.12622 | 2.5635 | 0.143656 |
| PL | 0.96545 | 1.3597 | − 1.2008 | 1.6881 | 0.1488 | ||
| PTL | 0.98745 | 0.83363 | 0.029192 | 1.0176 | 0.074581 | ||
| 2022 | L-solely | 0.78423 | 7.4804 | − 2.0031 | 10.7565 | 0.20402 | |
| PL | 0.79038 | 7.9639 | − 3.3249 | 10.6166 | 0.22338 | ||
| PTL | 0.87084 | 5.1966 | − 0.58113 | 8.3223 | 0.12702 | ||
| 2018–2021 | L-solely | 0.77049 | 5.2732 | − 2.3824 | 8.5682 | 0.197 | |
| PL | 0.79906 | 4.9756 | 0.61615 | 8.0172 | 0.22873 | ||
| PTL | 0.82557 | 4.6711 | 0.16113 | 7.9572 | 0.19275 | ||
| Wuhan | Spring | L-solely | 0.849396 | 2.32998 | 1.86374 | 2.75441 | 0.141494 |
| PL | 0.87119 | 2.0558 | 0.88827 | 2.5862 | 0.13773 | ||
| PTL | 0.95655 | 1.2954 | 0.34272 | 1.502 | 0.072215 | ||
| 2022 | L-solely | 0.81156 | 6.8713 | 1.3857 | 10.0659 | 0.22427 | |
| PL | 0.84799 | 6.8149 | − 0.97171 | 9.0407 | 0.19189 | ||
| PTL | 0.89061 | 5.939 | 0.025006 | 7.6691 | 0.18365 | ||
| 2018–2021 | L-solely | 0.75108 | 6.4266 | − 2.2721 | 8.9232 | 0.21815 | |
| PL | 0.79234 | 6.5631 | 1.7699 | 9.5415 | 0.29709 | ||
| PTL | 0.85094 | 4.7786 | 0.21204 | 8.0839 | 0.1877 |