A Big Data Based Analysis of Accurate Operation for User Multidimensional Value Identification

Abstract

In the development of Internet technology, the state grid enterprises of electric power began to use big data analysis technology to identify the multi-dimensional value of users at the same time of technological innovation, and put forward more accurate marketing operation countermeasures. Because the electricity customers in the electricity market belong to a relatively large group, so the analysis service based on the actual electricity consumption of customers, power demand and other content can not only provide effective basis for the actual management decision, but also improve the operation quality and efficiency of the computer system. Therefore, on the basis of understanding the functions and technical implementation of precision marketing platform based on big data technology, this paper conducts in-depth research on the power butler service model of residential customers based on cluster analysis of user types, and finally conducts empirical analysis on the basis of constructing ADTM-AI model. The results show that the stochastic forest classification method is more suitable to identify the multi-dimensional value of users in the state grid of electric power, and can provide effective basis for the accurate operation of the actual system.