Data Mining Analysis and High-dimensional Visualization Based on Electric Big Data

Abstract

with the popularization of intelligent ammeter, collection of users’ power utility information can be more accurate and smart. Every other 15 minutes, backstage of power supply companies can read power utility data automatically. By collecting data based on optimized scatter diagram in non-linear polynomial form, power supply companies can accurately analyze and display users’ power utility habits in more dimensions and angles through parallel coordinate system based on convex hull optimization. They are also able to synthesize multiple users’ power utility information and geographical information of communities, so as to establish improved comprehensive assessment system for residential quarters. In addition, power supply companies can synthesize visualized analysis on the relation between power utility of various industries in urban areas and GDP data, so as to further explore the interactive function of industry power utility and regional development; thus can also provide significant reference value for regional development strategies.