60-day ahead forecasting on PM2.5 Mumbai MAY-JUN
9.1MAESTARMA
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| STARMAModel Category=Spatio-Temporal Model2026.05 | 9.1 | 15.93 | 1.04 | 37.83 | 4.55 | 10.47 | |
| GSTARModel Category=Spatio-Temporal Model2026.05 | 11.58 | 18.25 | 1.26 | 44.89 | 5.79 | 8.66 | |
| GCSVRModel Category=Proposed2026.05 | 12.11 | 18.95 | 1.37 | 45.59 | 5.4 | 10.6 | |
| NBeatsModel Category=Temporal Model2026.05 | 15.48 | 31.54 | 0.69 | 53.85 | 5.04 | 12.53 | |
| GpGpModel Category=Spatio-Temporal Model2026.05 | 22.35 | 27.6 | 2.57 | 74.75 | 11.18 | 15.36 | |
| Trans.Model Category=Temporal Model2026.05 | 24.5 | 25.14 | 3.56 | 78.4 | 4.9 | 21.34 | |
| DeepARModel Category=Temporal Model2026.05 | 27.58 | 34.87 | 3.07 | 82.19 | 28.47 | 18.78 | |
| ARIMAModel Category=Temporal Model2026.05 | 27.87 | 33.07 | 3.02 | 83.79 | 6.6 | 17.71 | |
| STGCNModel Category=Spatio-Temporal Model2026.05 | 28.5 | 33.86 | 1.67 | 84.55 | 6.81 | 22.8 | |
| LSTMModel Category=Temporal Model2026.05 | 30.48 | 38.77 | 3.41 | 86.4 | 15.24 | 18.68 |