Prediction of Building Energy Consumption Based on BP Neural Network

Table 2

The expected input of forecast 1 adopts the sample data of the annual power consumption index of air conditioners and the forecast error.

	1	2	3	4	5	6	7	8	9
Average heat transfer coefficient of wall	1.51	1.51	1.51	1.54	1.55	1.51	1.51	1.51	1.62
Average thermal inertia index of wall	3.23	3.23	3.21	3.21	3.21	3.23	3.23	3.23	3.27
Roof heat transfer coefficient	0.65	0.65	0.7	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	0.66	0.7	0.7	0.68	0.66	0.7	0.7	0.45
Comprehensive shading coefficient	0.7	0.68	0.7	0.7	0.68	0.68	0.67	0.7	0.46
Annual power consumption index of air conditioner	58.34	58.4	57.82	65.5	58.1	58.4	63.37	64.83	59.22
Estimate	58.05	58.80	58.14	63.60	58.30	58.81	64.81	64.67	57.15
Error (%)	0.70	0.36	0.28	3.03	0.01	0.38	0.68	1.41	3.10