基于数据挖掘的电力稽查技术研究  

Research on Power Inspection Technology Based on Data Mining

作　　者：王振亚 鲍凡 WANG Zhenya;BAO Fan(Shuyang Branch,Suqian Sanxin Power Supply Service Co.,Ltd.,Suqian,Jiangsu 223600,China)

机构地区：[1]宿迁三新供电服务有限公司沭阳分公司,江苏宿迁223600

出　　处：《自动化应用》2024年第S02期101-103,共3页Automation Application

摘　　要：作为电力营销中的关键部分,稽查工作直接关系电力线路运行的效率和质量,因此,在实际的电力营销管理中需特别注重电力稽查工作的落实,以保障电力企业的经济效益。但传统的人工巡检方法具有被动特征,在稽查中不能及时发现电价执行异常用户,导致线损持续增加,电力企业的经济效益也会受到影响。为更好地弥补被动检查方法中的不足,在电力稽查中积极引入智能化技术,基于数据挖掘能够强化稽查有效性,积极作用显著。As a key part of power marketing,the inspection work is directly related to the efficiency and quality of power line operation.Therefore,in actual power marketing management,special attention should be paid to the implementation of power inspection work to ensure the economic benefits of power enterprises.However,traditional manual inspection methods have passive characteristics and cannot timely detect users with abnormal electricity price execution during inspections,leading to a continuous increase in line losses and affecting the economic benefits of power companies.In order to better address the shortcomings of passive inspection methods,intelligent technology has been actively introduced in power inspections in recent years.Based on data mining,it can enhance the effectiveness of inspections and has a significant positive effect.

关 键 词：数据挖掘 电力稽查技术 电力企业 

分 类 号：TM73[电气工程—电力系统及自动化]