Research on discrimination algorithm of electric energy substitution user based on logistic regression model

The current power grid is found with low visiting efficiency, information integration difficulty and other problems in case of promotion of electric energy substitution. The big data technology is featured by high efficiency, high speed and convenience in terms of information processing, so it can realize the precise localization and differentiated marketing objectives of each enterprise. This paper, based on the analysis of energy consumption status of current power grid user and by means of "industry-field-user" architectural analysis, classifies user as per industry and equipment characteristics and combines with existing data of current power grid to exploit the energy consumption and electricity use characteristics of electric energy substitution user and build discrimination model of electric energy substitution user so as to improve the working efficiency and economic benefit of power grid business.