Research Article
Hybrid Models for Weather Parameter Forecasting
Table 7
Comparison of errors and time taken for minimum temperature, Mumbai and Chennai.
| Methods | Mumbai | Chennai | TT | MAE | RMSE | RAE | RRSE | TT | MAE | RMSE | RAE | RRSE |
| RBF | 0.47 | 2.30 | 2.74 | 81.10 | 73.88 | 0.27 | 2.33 | 1.44 | 35.23 | 38.16 | W-RBF | 0.35 | 2.21 | 2.62 | 83.9 | 74.69 | 0.25 | 1.58 | 1.17 | 33.19 | 37.64 | N-RBF | 0.24 | 2.03 | 2.44 | 82.99 | 74.11 | 0.24 | 1.15 | 1.18 | 32.14 | 36.52 | W-N-RBF | 0.22 | 2.00 | 2.14 | 70.50 | 73.10 | 0.04 | 1.01 | 1.15 | 30.41 | 32.74 | SMO | 0.46 | 2.15 | 2.75 | 75.82 | 74.12 | 0.96 | 2.99 | 2.58 | 46.81 | 48.17 | W-SMO | 0.29 | 2.06 | 2.67 | 78.05 | 76.19 | 0.56 | 1.80 | 2.32 | 45.10 | 58.19 | N-SMO | 0.16 | 1.89 | 2.49 | 77.61 | 75.30 | 0.87 | 1.80 | 2.35 | 53.12 | 55.42 | W-N-SMO | 0.22 | 2.02 | 2.62 | 77.46 | 75.54 | 0.62 | 1.87 | 2.33 | 52.35 | 94.75 | LibSVM | 0.31 | 2.98 | 2.99 | 98.45 | 80.98 | 0.31 | 2.03 | 2.59 | 101.09 | 101.40 | W-LibSVM | 1.44 | 2.89 | 2.14 | 88.23 | 81.96 | 1.94 | 2.41 | 2.65 | 131.23 | 100.92 | N-LibSVM | 1.15 | 1.99 | 2.98 | 89.63 | 82.99 | 1.15 | 1.19 | 2.47 | 121.88 | 101.88 | W-N-LibSVM | 1.09 | 2.97 | 2.66 | 102.54 | 99.54 | 1.76 | 1.70 | 2.39 | 121.40 | 99.43 |
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