Research Article
Temperature Prediction of Photovoltaic Panels Based on Support Vector Machine with Pigeon-Inspired Optimization
Table 3
Comparison of prediction accuracy for the temperature of PV panels.
| Method | MAPE (%) | Accuracy improvement (%) | Training time (s) |
| SVM | 0.4172 | — | — | DE-SVM | 0.3130 | 28.08 | — | PSO-SVM | 0.3138 | 27.91 | 128.595743 | PIO-SVM | 0.3121 | 28.51 | 116.0571 | OPIO-SVM | 0.3104 | 28.59 | 103.87497 | DFPIO-SVM | 0.2883 | 28.97 | 94.505892 |
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