Analysis and research on electricity consumption characteristics of massive users based on fuzzy C-means clustering

Yi Zhang; Feng Zhang; Yang Li; Xudong Yao; Jianqiang Cai; Jianguo Mo

doi:10.1117/12.2640491

19 October 2022 Analysis and research on electricity consumption characteristics of massive users based on fuzzy C-means clustering

Yi Zhang, Feng Zhang, Yang Li, Xudong Yao, Jianqiang Cai, Jianguo Mo

Author Affiliations +

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 1229450 (2022) https://doi.org/10.1117/12.2640491
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

With the progress of informatization and intelligent construction of power grid enterprises, it is possible to obtain large data information on electricity consumption of massive users. Based on blockchain sharing and integrating external data such as social economy, industry development, environmental protection energy consumption, industrial and commercial taxation, and based on the electricity consumption data of massive enterprise users, this paper innovatively proposes a fuzzy C-means clustering of electricity consumption characteristics for massive users. Class analysis method, and at the same time, according to the common electricity consumption patterns of users, 9 types of typical electricity consumption patterns of users are divided, and clustering methods are used to aggregate the cluster centers of these 9 types of electricity consumption patterns. Users carry out multi-dimensional and refined analysis, and divide these users into the best aggregation mode, which lays the foundation for the subsequent identification of external influencing factors and the construction of prediction models.

Citation Download Citation

Yi Zhang, Feng Zhang, Yang Li, Xudong Yao, Jianqiang Cai, and Jianguo Mo "Analysis and research on electricity consumption characteristics of massive users based on fuzzy C-means clustering", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 1229450 (19 October 2022); https://doi.org/10.1117/12.2640491

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data storage

Fuzzy logic

Analytical research

Data modeling

Data centers

Computer security

Algorithm development

Show All Keywords

Keywords/Phrases

Search In:

Publication Years