Research Article
Temperature Prediction of Photovoltaic Panels Based on Support Vector Machine with Pigeon-Inspired Optimization
Table 1
Comparison of prediction accuracy for the Mackey–Glass time series.
| Method | Optimized parameters | MSE | RMSE | Accuracy improvement (%) | | |
| SVM | 0.1 | 1 | 4.1113e − 04 | 2.03e − 02 | — | DE-SVM | 17.7584 | 1.5187 | 1.2462e − 04 | 1.12e − 02 | 69.69 | PSO-SVM | 16.2988 | 0.6093 | 6.6701e − 05 | 8.18e − 03 | 83.78 | PIO-SVM | 18.6471 | 0.6140 | 6.6069e − 05 | 8.13e − 03 | 83.90 | OPIO-SVM | 16.8580 | 0.6129 | 6.6346e − 05 | 8.14e − 03 | 83.86 | DFPIO-SVM | 16.7831 | 0.6151 | 6.5455e − 05 | 8.09e − 03 | 84.08 |
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