Application of Clustering Algorithm by Data Mining in the Analysis of Smart Grid from the Perspective of Electric Power

Author:

Qi Yaru,Ren Junda,Sun Ni,Yu Yangqi

Abstract

Abstract In recent years, the research on the relationship between economic development and power consumption is also a focus of government departments at all levels. The development of electric power (EP) not only has an impact on power supply enterprises and EP industry, but also is closely related to the social and economic development of the whole region and residents’ life, that is, there must be some internal relationship between economic development and EP consumption. In many areas of our country, the situation of power consumption and economic development is not coordinated. Insufficient and untimely power supply will hinder economic growth, and excessive power supply will bring unnecessary waste of resources. This also reflects that the research on the relationship between economic development and power consumption is not in-depth, so the research on the relationship between power consumption and economic development has a certain theoretical significance. This paper studies the application of clustering algorithm based on data mining in the analysis of economic development characteristics(EDC) from the perspective of EP, uses K-means clustering algorithm to understand the relationship between EP development and economic development, understands its characteristic development application, studies the relationship between EP consumption and economy from the EP elastic coefficient method and output value unit consumption method, and uses K-means clustering algorithm to calculate, this paper uses the chart analysis method to analyze the correlation degree of power consumption structure and the relationship between different industrial GDP and power consumption. The results show that the total output of each industrial structure is in direct proportion to the power consumption. The total value of each industrial structure is increasing, and the power consumption is on the rise. For example, in 2016, the total value of the first industry was 186.81 trillion yuan, the second industry was 960.54 trillion yuan, the third industry was 515.96 trillion yuan, and the power consumption was 41.246 billion kwh, by 2020, the total value of the primary industry will be 220.66 trillion yuan, the secondary industry 1916.51 trillion yuan, the tertiary industry 866.22 trillion yuan, and its electricity consumption (EC) will be 57.697 billion kwh.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference12 articles.

1. Medium and Long-term Electric Power Development Considering Operating Characteristics of High Proportion of Renewable Energy [J];Automation of Electric Power Systems,2017

2. Electric power system of Yemen, its structure and characteristics [J];Ali;Power Engineering Research Equipment Technology,2019

3. Analysis of Electrical Characteristics of Power MOSFET with Floating Island [J];Kang;Journal of Nanoscience and Nanotechnology,2016

4. Reliability and economic evaluation of power system with renewables: A review[J];Zhou;Renewable and Sustainable Energy Reviews,2016

5. Evaluation of direct current electric power systems of the aircraft based on characteristics of a transient state [J];Tokarski;Diagnostyka,2018

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Application of K-Means Clustering Algorithm in the Profit of Building Material Rental Customers;2023 3rd Asian Conference on Innovation in Technology (ASIANCON);2023-08-25

2. Application of Particle Swarm Clustering Algorithm in Power Engineering Cost Estimation;2023 2nd International Conference for Innovation in Technology (INOCON);2023-03-03

3. Clustering Mining Method Analysis of Human Resources Big Data Driven by Swarm Intelligence Algorithm;Lecture Notes on Data Engineering and Communications Technologies;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3