Research Article
Research on PM2.5 Spatiotemporal Forecasting Model Based on LSTM Neural Network
Table 3
Comparison of various baseline models with the model’s indicators for the next hour.
| Baseline model | MAE (μg/m3) | RMES (μg/m3) | R2 |
| LR | 13.08 | 23.707 | 0.903 | RF | 8.02 | 15.131 | 0.918 | SVM | 34.69 | 68.106 | 0.255 | ARMA | 7.46 | 13.958 | 0.923 | LSTM_N | 7.11 | 13.943 | 0.922 | LSTM_NW | 7.33 | 13.567 | 0.926 | LSTM_NE | 7.79 | 12.757 | 0.919 | LSTM_WE | 7.21 | 12.353 | 0.926 | LSTM_S | 7.81 | 14.664 | 0.916 | ST_LSTM | 6.81 | 12.080 | 0.930 |
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