Research Article
Hybrid Models for Weather Parameter Forecasting
Table 8
Comparison of errors and time taken for wind speed, Mumbai and Chennai.
| Methods | Mumbai | Chennai | TT | MAE | RMSE | RAE | RRSE | TT | MAE | RMSE | RAE | RRSE |
| RBF | 0.96 | 3.28 | 4.28 | 73.40 | 72.07 | 0.96 | 1.08 | 3.13 | 83.03 | 89.43 | W-RBF | 0.75 | 2.48 | 3.27 | 81.14 | 74.41 | 0.85 | 1.02 | 2.06 | 81.47 | 90.14 | N-RBF | 0.16 | 2.15 | 1.80 | 73.31 | 67.32 | 0.26 | 1.02 | 2.17 | 81.11 | 88.05 | W-N-RBF | 0.12 | 1.48 | 1.65 | 65.39 | 63.19 | 0.12 | 1.00 | 2.16 | 80.07 | 88.11 | SMO | 0.62 | 3.01 | 4.31 | 67.32 | 67.32 | 0.18 | 1.86 | 2.08 | 99.12 | 94.35 | W-SMO | 0.88 | 2.36 | 3.40 | 77.25 | 77.25 | 0.15 | 1.45 | 1.98 | 99.11 | 98.94 | N-SMO | 0.78 | 1.41 | 1.89 | 69.97 | 69.97 | 0.15 | 1.99 | 1.88 | 95.14 | 97.88 | W-N-SMO | 0.85 | 2.02 | 2.64 | 76.06 | 76.06 | 0.14 | 1.89 | 1.39 | 83.88 | 97.80 | LibSVM | 0.98 | 3.01 | 1.99 | 88.74 | 89.41 | 1.72 | 1.99 | 2.06 | 98.23 | 145.81 | W-LibSVM | 0.92 | 2.01 | 1.87 | 80.21 | 90.37 | 1.42 | 1.45 | 1.98 | 89.01 | 101.74 | N-LibSVM | 0.42 | 2.90 | 1.97 | 85.21 | 98.41 | 1.92 | 1.98 | 1.99 | 101.65 | 101.55 | W-N-LibSVM | 0.94 | 1.98 | 2.01 | 99.12 | 99.60 | 1.46 | 1.95 | 1.38 | 102.11 | 100.43 |
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