Analysis of Power Grid User Behavior Based on Data Mining Algorithms – System Design and Implementation

Authors

  • Yan Wang Information and Communication Branch of Hainan Power Grid, Haikou, Hainan, China
  • Jiawei Xu Information and Communication Branch of Hainan Power Grid, Haikou, Hainan, China
  • Xiaowen Chen Hainan Power Exchange Center, Haikou, Hainan, China
  • Ying Huang Hainan Power Grid Company Limited, Haikou, Hainan, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3937

Keywords:

Data mining, grid user behavior, analysis system, ZigBee, K-means algorithm

Abstract

A data mining based power grid user behavior analysis system has been designed to address the issues of insufficient stability and accuracy in existing power grid user behavior analysis systems. Design the overall structure of the power grid user behavior analysis system; In terms of system hardware design, select a core controller, build and install a server as the foundation for system information transmission and logical operation; Based on ZigBee wireless communication technology, a ZigBee wireless communication protocol stack and communication expansion board were designed; In terms of system software design, Python is used to crawl user behavior data in the system data collection layer, and Python language is used to maintain the crawling program; Use the K-means algorithm to perform secondary mining and clustering on power grid user behavior data, obtain the analysis results of power grid user behavior, and transmit them to the system visualization display layer. The weight and Rand coefficient of data analysis were used as indicators to test the application effect of the method in this paper. The experimental results showed that the system can stably and accurately analyze the behavior of power grid users, and has good application effect. This research achievement has important reference significance for the research in the field of power grid user behavior analysis in the world scientific community.

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Author Biographies

Yan Wang, Information and Communication Branch of Hainan Power Grid, Haikou, Hainan, China

Yan Wang was born in March 1995 and graduated from Shanxi University of Science and Technology in 2018. Currently, he works at the Information and Communication Branch of Hainan Power Grid Co., Ltd.She research interests include computer application technology.

Jiawei Xu, Information and Communication Branch of Hainan Power Grid, Haikou, Hainan, China

Jiawei Xu was born in November 1974 and graduated from Jiangxi University of Technology in 2010. Currently, he works at the Information and Communication Branch of Hainan Power Grid Co., Ltd. He research interests include computer science and technology.

Xiaowen Chen, Hainan Power Exchange Center, Haikou, Hainan, China

Xiaowen Chen was born in July 1987 and graduated from South China University of Technology in 2013. Currently, he works at Hainan Power Trading Center Co., Ltd. He research interests include computer application technology.

Ying Huang, Hainan Power Grid Company Limited, Haikou, Hainan, China

Ying Huang was born in August 1989 and graduated from China University of Mining and Technology in 2011. Currently, she works at Hainan Power Grid Co., Ltd. She research interests include electricity marketing and electricity fee management.

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Published

2024-07-16

How to Cite

Wang, Y., Xu, J., Chen, X., & Huang, Y. (2024). Analysis of Power Grid User Behavior Based on Data Mining Algorithms – System Design and Implementation. Distributed Generation &Amp; Alternative Energy Journal, 39(03), 531–558. https://doi.org/10.13052/dgaej2156-3306.3937

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Section

Renewable Power & Energy Systems