Research on Energy Consumption of Building Electricity Based on Decision Tree Algorithm

Abstract

The consumption of building energy was increasing every year in the past in China. It is a big problem to be solved about how to make the building energy consumption to be more reasonable. In order to obtain the feature of building energy consumption with its electrical instructions, a decision-tree algorithm is designed to mine the data of energy consumption of electricity. According to the analysis of the attribute quantity factors, comparing the factors classification information gain value, and analysis the proportion of power consumption factors, a typical energy consumption sample of a laboratory in university was modeled and analyzed in this paper. Experimental results show that the seasonal change factor has a great influence on the energy consumption of the building. And according to this conclusion, a suitable energy-efficiency device is planed.