Intelligent Analysis and Prediction of User Electricity Consumption Status Based on Big Data-Reference-Cited by-同舟云学术

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Intelligent Analysis and Prediction of User Electricity Consumption Status Based on Big Data

Published:2024-02-27 Issue: Volume:35 Page:671-676
ISSN:
Container-title:2024 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE)
language:
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Author:

Liu Ying¹,Li Jincan²,Zhu Wanting¹,Deng Dongdong¹,Wu Binji¹,Wen Xin³

Affiliation:

1. Nanning Power Supply Bureau of Guangxi Power Grid Co., Ltd,Nanning,Guangxi,China,530023

2. Marketing Department of Guangxi Power Grid Co., Ltd,Nanning,Guangxi,China,530023

3. Beihai Power Supply Bureau of Guangxi Power Grid Co., Ltd,Beihai,Guangxi,China,536006

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10539644/10539645/10539815.pdf?arnumber=10539815

Reference10 articles.

1. Power Consumption Behavior Analysis of Power Big Data Based on Cluster Analysis

2. Research on power consumption mode of low voltage users by power big data;Yu;Information Technology,2019

3. The use of edge computing-based internet of things big data in the design of power intelligent management and control platform

4. Analysis and Identification of Power Blackout-Sensitive Users by Using Big Data in the Energy System

5. Intelligent Monitoring Analysis of Power Grid Monitoring Information Based on Big Data Mining

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