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用电行为分析系统的设计

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随着居民用电需求的急剧增加,电能消耗日益庞大,这使得有效管理和控制电能的消耗显得尤为重要.此外,居民用电通常表现出一定的集中性,因此对电网的高负荷运行和电力供应稳定性构成了挑战.文章设计了一种用电行为分析系统,基于非侵入式负荷监测技术和区块链技术,该系统可实现居民用电行为分解、用电安全预警等功能,为居民安全用电和电力系统的稳定运行提供保障.
Application Research of Electricity Consumption Behavior Analysis System
With the rapid increase of the demand for electricity,the consumption of electric energy is increasing,which makes the effective management and control of electric energy consumption is particularly important.In addition,residential electricity consumption usually shows a certain concentration,so it poses a challenge to the high-load operation of the grid and the stability of the power supply.Based on non-invasive load monitoring technology and blockchain technology,this system can realize functions such as decomposition of residents'electricity consumption behavior and early warning of electricity consumption safety,so as to provide security for residents'safe electricity consumption and stable operation of the power system.

electricity behavior analysis systemnon-invasive load monitoringelectrical electricity behavior analysisevent detection algorithmload identification algorithm

戚娌娜、陈潮洋、孙吉裕、陆阳、刘志刚

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国网浙江省电力有限公司余姚市供电公司,浙江余姚 315400

用电行为分析系统 非侵入式负荷监测 电器用电行为分析 事件探测算法 负荷识别算法

2024

电力系统装备
《机电商报》社

电力系统装备

影响因子:0.008
ISSN:1671-8992
年,卷(期):2024.(4)
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