Research Article
Prediction of Building Energy Consumption Based on BP Neural Network
Table 3
Using MATLAB to predict the second sample, the annual building energy consumption per unit area, and the predicted value.
| | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| Average heat transfer coefficient of wall | 1.51 | 1.51 | 1.51 | 1.53 | 1.55 | 1.51 | 1.51 | 1.51 | 1.62 | Average thermal inertia index of wall | 3.23 | 3.23 | 3.23 | 3.21 | 3.21 | 3.23 | 3.23 | 3.23 | 3.17 | Roof heat transfer coefficient | 0.65 | 0.65 | 0.70 | 0.65 | 0.65 | 0.65 | 0.65 | 0.65 | 0.63 | Solar radiation absorption coefficient of exterior wall | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 | 0.64 | Window shading coefficient | 0.6 | 0.68 | 0.7 | 0.7 | 0.68 | 0.68 | 0.7 | 0.7 | 0.5 | Comprehensive shading coefficient | 0.7 | 0.68 | 0.7 | 0.7 | 0.68 | 0.68 | 0.67 | 0.7 | 0.0.46 | Annual energy consumption per unit building area | 8.45 | 11.30 | 11.32 | 11.62 | 8.51 | 6.67 | 10.80 | 9.58 | 10.73 | Estimate | 7.82 | 9.7 | 10.60 | 11.11 | 9.47 | 9.65 | 10.64 | 11.04 | 4.81 |
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