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 :
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