Multi-Dimensional Power Marketing Linkage Analysis and Intelligent Monitoring Based on Visualization Technology

Abstract

In order to monitor the power purchase and consumption of users in power plants or power companies in real time, this study analyzes the power linkage marketing situation. The research combines the information entropy decision tree model and the clustering algorithm in data mining to realize the visualization of power high-dimensional data, so as to realize the intelligent monitoring of power. The results show that the electricity transaction volume between users and the company accounts for about 40% of the total transaction volume. Data visualization based on information entropy decision trees and clustering algorithms can effectively monitor the purchase and use of electricity by users. It is hoped that this research will provide certain reference and reference for the power marketing of power companies and the monitoring of users' power consumption.