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基于大数据分析的电力用户用电行为特征识别研究

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为解决电力用户用电行为分析的难题,提出了一种基于大数据分析的方法.通过多源数据融合和机器学习技术,实现了对电力用户用电行为特征的精准识别.实验结果表明,该方法能够有效区分不同类型用户的用电模式,为电力系统的精准负荷预测和需求侧管理提供了有力支撑.
Research on the Identification of Electricity Consumption Behavior Characteristics of Power Users Based on Big Data Analysis
This paper aims to solve the problem of electricity consumption behavior analysis of power users,and proposes a method based on big data analysis.Through multi-source data fusion and machine learning technology,the characteris-tics of power users'electricity consumption behavior are accurately identified.Experimental results show that the proposed method can effectively distinguish the power consumption patterns of different types of users,and provides strong support for accurate load forecasting and demand-side management of power system.

power userselectricity consumption behaviorbig data analytics

阿依古丽·艾甫力、于忠爽、李广场、李岸、郑玲

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国网新疆电力有限公司吐鲁番供电公司,新疆 吐鲁番 838000

电力用户 用电行为 大数据分析

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(23)