Research Article
Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning
Table 4
Comparison of PIs obtained using OOB and OOB-KDE methods.
| | | | 0.95 | 0.9 | 0.8 | TSR | Method | Model | PICP | PINAW | CWC | PICP | PINAW | CWC | PICP | PINAW | CWC |
| 0.2 | OOB | RF | 0.890 | 0.297 | 1.628 | 0.771 | 0.168 | 4.394 | 0.662 | 0.118 | 3.835 | V-SVR | 0.919 | 0.005 | 0.016 | 0.880 | 0.004 | 0.011 | 0.770 | 0.003 | 0.009 | Rprop-ANN | 0.903 | 0.754 | 3.196 | 0.840 | 0.583 | 3.196 | 0.746 | 0.413 | 2.006 | OOB-KDE | RF | 0.936 | 0.415 | 1.004 | 0.885 | 0.282 | 0.692 | 0.792 | 0.179 | 0.398 | V-SVR | 0.929 | 0.006 | 0.016 | 0.898 | 0.005 | 0.01 | 0.820 | 0.004 | 0.006 | Rprop-ANN | 0.908 | 0.790 | 3.048 | 0.893 | 0.610 | 1.337 | 0.782 | 0.446 | 1.145 | 0.5 | OOB | RF | 0.823 | 0.134 | 3.34 | 0.771 | 0.110 | 2.877 | 0.654 | 0.063 | 2.487 | V-SVR | 0.769 | 0.003 | 0.28 | 0.675 | 0.003 | 0.835 | 0.492 | 0.002 | 4.419 | Rprop-ANN | 0.739 | 0.153 | 30.048 | 0.809 | 0.336 | 3.605 | 0.854 | 0.242 | 0.305 | OOB-KDE | RF | 0.887 | 0.182 | 1.061 | 0.830 | 0.118 | 0.797 | 0.732 | 0.078 | 0.505 | V-SVR | 0.807 | 0.004 | 0.147 | 0.700 | 0.003 | 0.448 | 0.510 | 0.003 | 4.227 | Rprop-ANN | 0.872 | 0.464 | 3.725 | 0.847 | 0.352 | 1.676 | 0.794 | 0.248 | 0.536 | 0.8 | OOB | RF | 0.810 | 0.112 | 3.821 | 0.764 | 0.076 | 2.353 | 0.550 | 0.039 | 20.242 | V-SVR | 0.897 | 0.004 | 0.019 | 0.824 | 0.003 | 0.023 | 0.726 | 0.003 | 0.022 | Rprop-ANN | 0.801 | 0.327 | 13.888 | 0.811 | 0.247 | 2.533 | 0.651 | 0.181 | 7.687 | OOB-KDE | RF | 0.812 | 0.115 | 3.738 | 0.767 | 0.080 | 2.304 | 0.676 | 0.050 | 1.16 | V-SVR | 0.916 | 0.004 | 0.013 | 0.846 | 0.003 | 0.015 | 0.735 | 0.003 | 0.018 | Rprop-ANN | 0.750 | 0.305 | 45.571 | 0.802 | 0.245 | 3.084 | 0.685 | 0.174 | 3.258 |
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