Data Mining Application in Smart Meter Quality Control

被引：0

作者：

Zhu, Yu-Nan ^{[1
,2
]}

Ji, Feng ^{[1
,2
]}

Liu, Jian ^{[1
,2
]}

Tian, Zheng-Qi ^{[1
,2
]}

Zhou, Chao ^{[1
,2
]}

Mahjoubfar, Ata ^{[3
,4
]}

机构：

[1] Elect Power Metering Key Lab State Grid, 9 Aoti St, Nanjing, Jiangsu, Peoples R China

[2] State Grid Jiangsu Elect Power Res Inst, 9 Aoti St, Nanjing, Jiangsu, Peoples R China

[3] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90024 USA

[4] Calif NanoSyst Inst, Los Angeles, CA USA

来源：

FUZZY SYSTEM AND DATA MINING | 2016年 / 281卷

关键词：

Data mining; quality control; smart meter; pattern recognition;

D O I：

10.3233/978-1-61499-619-4-369

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents application of data mining in enhancement of smart meter quality control based on the observed life cycle data. Data mining techniques followed by machine learning methods efficaciously recognize intricate smart meter usage and failure patterns, generating unique insights, which lead to solutions for better quality control results.

引用

页码：369 / 374

页数：6

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