Load profiling and data mining techniques in electricity deregulated market

Nizar, A., Dong, Z. Y. and Zhao, J. (2006). Load profiling and data mining techniques in electricity deregulated market. In: Proceedings of the 2006 IEEE Power Engineering Society General Meeting. 2006 IEEE Power Engineering Society General Meeting, Montreal, Canada, (1709335.1-1709335.7). 18-22 June, 2006.


Author Nizar, A.
Dong, Z. Y.
Zhao, J.
Title of paper Load profiling and data mining techniques in electricity deregulated market
Conference name 2006 IEEE Power Engineering Society General Meeting
Conference location Montreal, Canada
Conference dates 18-22 June, 2006
Proceedings title Proceedings of the 2006 IEEE Power Engineering Society General Meeting
Journal name 2006 IEEE Power Engineering Society General Meeting, PES
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2006
Sub-type Fully published paper
ISBN 1424404932
9781424404933
Start page 1709335.1
End page 1709335.7
Total pages 7
Collection year 2006
Abstract/Summary This paper presents load profiles of electricity customers, using the knowledge discovery in databases (KDD) procedure, a data mining technique, to determine the load profiles for different types of customers. In this paper, the current load profiling methods are compared using data mining techniques, by analysing and evaluating these classification techniques. The objective of this study is to determine the best load profiling methods and data mining techniques to classify, detect and predict non-technical losses in the distribution sector, due to faulty metering and billing errors, as well as to gather knowledge on customer behaviour and preferences so as to gain a competitive advantage in the deregulated market. This paper focuses mainly on the comparative analysis of the classification techniques selected; a forthcoming paper will focus on the detection and prediction methods.
Subjects E1
280213 Other Artificial Intelligence
660304 Energy systems analysis
Q-Index Code E1
Institutional Status UQ

 
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Created: Thu, 23 Aug 2007, 22:25:37 EST