30 day-ahead forecasting on Mumbai PM2.5 January
8.2MAETrans.
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Trans.Model Category=Temporal Model, Forecasting horizon=30-day ahead2026.05 | 8.2 | 1.2 | 11.28 | 17.53 | 5.04 | 6.04 | |
| ARIMAModel Category=Temporal Model, Forecasting horizon=30-day ahead2026.05 | 15.37 | 1.63 | 18.36 | 31.02 | 7.75 | 12.29 | |
| GSTARModel Category=Spatio-Temporal Model, Forecasting horizon=30-day ahead2026.05 | 16.71 | 1.73 | 19.6 | 32.8 | 8.36 | 12.67 | |
| NBeatsModel Category=Temporal Model, Forecasting horizon=30-day ahead2026.05 | 17.86 | 0.81 | 25.57 | 35.47 | 9.63 | 13.47 | |
| STARMAModel Category=Spatio-Temporal Model, Forecasting horizon=30-day ahead2026.05 | 18 | 1.84 | 21.13 | 35.12 | 9 | 14.91 | |
| GCSVRModel Category=Proposed, Forecasting horizon=30-day ahead2026.05 | 18.59 | 1.94 | 22.16 | 36.65 | 8.87 | 13.81 | |
| STGCNModel Category=Spatio-Temporal Model, Forecasting horizon=30-day ahead2026.05 | 19.92 | 1.13 | 23.33 | 38.55 | 10.66 | 14.73 | |
| GpGpModel Category=Spatio-Temporal Model, Forecasting horizon=30-day ahead2026.05 | 20.62 | 2.28 | 24.22 | 40.73 | 10.31 | 15.05 | |
| DeepARModel Category=Temporal Model, Forecasting horizon=30-day ahead2026.05 | 23.2 | 2.43 | 27.46 | 46.91 | 10.94 | 15.43 | |
| LSTMModel Category=Temporal Model, Forecasting horizon=30-day ahead2026.05 | 25.9 | 2.73 | 30.86 | 54.9 | 12.95 | 14.39 |