DocumentCode
1864186
Title
Application of data mining in intelligent power consumption
Author
Jia, N. ; Wang, J.S. ; Li, Ning
Author_Institution
Guodiantong Corporation, Beijing, China
fYear
2012
fDate
3-5 March 2012
Firstpage
538
Lastpage
541
Abstract
In this paper, the key technologies of data mining are firstly studied detailedly, and huge data of intelligent power consumption are transformed into valued knowledge which applies advanced data mining technology based on the huge data. It focuses on the application in the intelligent power consumption field, and the applications, such as classification of power customers, analysis of power consumption of intelligent appliance, analysis of abnormal family electricity consumption and so on, which are realized by clustering algorithm, correlation analysis algorithm and outlier analysis algorithm. The analysis results can lead power consumers to use electricity rationally, and provide decision support for power companies.
Keywords
clustering algorithm; correlation analysis; data mining; intelligent power consumption; outlier analysis;
fLanguage
English
Publisher
iet
Conference_Titel
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location
Xiamen
Electronic_ISBN
978-1-84919-537-9
Type
conf
DOI
10.1049/cp.2012.1035
Filename
6492642
Link To Document