30 day-ahead forecasting on Mumbai PM2.5 July
5.59MAEGpGp
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GpGpModel Category=Spatio-Temporal Model2026.05 | 5.59 | 0.61 | 8.3 | 39.34 | 2.79 | 9.6 | |
| STARMAModel Category=Spatio-Temporal Model2026.05 | 6.41 | 0.69 | 9.16 | 45.52 | 3.21 | 9.27 | |
| GCSVRModel Category=Proposed2026.05 | 6.57 | 0.71 | 9.31 | 44.91 | 3.57 | 6.35 | |
| NBeatsModel Category=Temporal Model2026.05 | 7.08 | 0.32 | 12.69 | 49.05 | 3.95 | 5.6 | |
| GSTARModel Category=Spatio-Temporal Model2026.05 | 7.77 | 0.86 | 10.38 | 59.43 | 3.88 | 6.62 | |
| LSTMModel Category=Temporal Model2026.05 | 20.3 | 2.33 | 24.97 | 90.04 | 10.15 | 12.79 | |
| ARIMAModel Category=Temporal Model2026.05 | 24.77 | 2.75 | 27.27 | 96.48 | 5.28 | 15.65 | |
| Trans.Model Category=Temporal Model2026.05 | 26.53 | 3.97 | 26.67 | 92.36 | 5.31 | 24.98 | |
| DeepARModel Category=Temporal Model2026.05 | 29.3 | 3.37 | 33.58 | 102.16 | 32.94 | 21.34 | |
| STGCNModel Category=Spatio-Temporal Model2026.05 | 32.21 | 1.97 | 33.7 | 110.97 | 6.66 | 27.53 |