Title :
Application of data mining in intelligent power consumption
Author :
Jia, N. ; Wang, J.S. ; Li, Ning
Author_Institution :
Guodiantong Corporation, Beijing, China
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;
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
DOI :
10.1049/cp.2012.1035