Research Article
Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms
Table 2
Performance of the machine learning algorithms.
| Algorithm | Application | MSE | RMSE | | MAE | MAPE |
| NN | Flat roof | 35.371 | 5.94 | 0.8632 | 4.95 | 2.22 | South façade | 49.42 | 7.03 | 0.8706 | 5.94 | 1.48 | East façade | 19.54 | 4.42 | 0.8833 | 3.00 | 0.55 | West façade | 114.12 | 10.68 | 0.8807 | 5.13 | 1.76 |
| Q_SVM | Flat roof | 347.72 | 18.64 | 0.863 | 15.89 | 7.89 | South façade | 256.88 | 16.8 | 0.8713 | 15.34 | 5.03 | East façade | 345.76 | 18.59 | 0.8843 | 11.33 | 1.72 | West façade | 295.72 | 17.19 | 0.8809 | 8.84 | 2.92 |
| Tree | Flat roof | 96.77 | 9.83 | 0.8634 | 8.505 | 3.17 | South façade | 76.903 | 8.76 | 0.8699 | 7.00 | 2.66 | East façade | 267.04 | 16.34 | 0.8823 | 11.82 | 2.13 | West façade | 185.37 | 13.61 | 0.8787 | 7.56 | 2.33 |
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