Two examples are given to illustrate the different modeling methods that can be used to deal with buildings with different spatial scales. However, this model has the problem of low accuracy of energy consumption testing. Reference [3] presents a benchmark evaluation model of building's energy consumption based on regression analysis and data mining. Based on the benchmark evaluation model in the form of regression equation established by stepwise regression method, a benchmark evaluation model of building's energy consumption called Apriori-rule is proposed. The association rule mining technology is applied to the field of building energy consumption benchmark evaluation. The benchmark evaluation model in the form of decision tree is established by using ID3 algorithm in classification mining.