摘要
文章详细介绍了数据挖潜技术和聚类算法;通过用电客户用电行为、用电负荷、用电规律等特征分析,对用电客户异常指标数据进行有效挖潜分析;并根据稽查数据案例进行多维度分析,快速锁定问题样本,从而更有效的提升异常行为客户的筛查率,使用电行为异常分析工作趋于信息化、智能化。
This paper introduces the data tapping technology and clustering algori thm in detail,analyzes the abnormal index data of electricity customers effectively by analyzing the characteristics of electrici ty consumption behavior,load and law of electrici ty consumption,and makes multidimension alanalysis according to the inspection data cases to quickly lock up the problem samples,so as to enhance the efficiency.Abnormal behavior customer screening rate,the use of abnormal electrical behavior analysis tends to be informational and intelligent.
作者
朱少维
戚颖怡
陈豪
王马才
Zhu Shaowei;Qi Yingyi;Chen Hao;Wang Macai(Guangzhou Power Supply Bureau Co.,Ltd.,Guangzhou Guangdong,510000)
出处
《电子测试》
2018年第24期65-66,56,共3页
Electronic Test
关键词
用电负荷
高接低用户
数据挖潜
曲线排查
electricity load
high and low users
data potential
curve checking
