Design and Implementation of Power User Profiling System Based on Big Data

In order to understand the design and implementation of power user profiling systems, a research on power user profiling systems and implementation based on big data has been proposed. This paper first analyzes the problem of insufficient coverage information in traditional power grid user profile construction methods for power supply enterprises, which leads to the inability of enterprises to comprehensively understand users and provide personalized services through profiles. Research on the construction method of power grid user profiles has been carried out. Secondly, a method for constructing power grid user profiles based on big data is proposed by obtaining power grid user information, establishing power grid user behavior labels, and conducting three-dimensional power grid profiles based on big data. Finally, comparative experiments have shown that this method improves the information coverage of the portrait compared to traditional construction methods, which is beneficial for power supply enterprises to improve the utilization value of data.