Short term effect evaluation model of rural energy construction revitalization based on ID3 decision tree algorithm

Abstract

In rural energy construction, systematic research is needed in multiple fields including the following: basic frontier investigation on energy resource evaluation and optimal regulation, development of common key technologies, application demonstration and industrialization promotion for the whole chain design, integrated deployment and sub module promotion. Firstly, this paper studies the short-term effect of decision tree algorithm in rural energy construction and revitalization of energy construction. Secondly, through multiple decision tree ID3 algorithms. It combines the advantages of the two algorithms and sets an appropriate threshold for Relief feature selection algorithm and performs attribute complementary screening. Thirdly, this paper establishes a feature selection model based on Relief feature selection algorithm and decision tree ID3 algorithm. The first result is obtained and screened by the decision tree algorithm. During the process, the threshold of the Relief feature selection algorithm is set, the attributes obtained by the Relief feature selection algorithm and the attributes obtained by the decision tree ID3 algorithm are screened and supplemented to realize the screening of irrelevant attributes. By creating the utilization mode of optimal allocation of rural solar energy space, it has a certain promotion and reference value.