Measuring the Efficiency of Non Technical Loss inPower Utilities using Data Mining Techniques

rajesh*, Siva Sankari**
* PG Student, Department of Computer Science and Engineering, Government College of Engineering, Tirunelveli, Tamilnadu, India.
** Ph.D. Scholar, Information and Communication Engineering, Anna University, Chennai, India.
Periodicity:June - August'2014
DOI : https://doi.org/10.26634/jcom.2.2.3230

Abstract

This paper presents about Non Technical Loss (NTL) in power utilities and it describes how to handle it. Non-technical Loss has been an influential factor in the benefits of electric power utilities. At the same time, to distribute generation extensively installed, the consumption patterns are having many similarities between dishonest users and normal users. Non Technical Loss may be theft of electricity, illegal connection, fault metering and billing error. Improving the reliability of the NTL detection algorithm becomes particularly important. Data mining techniques are used to detect the Non Technical Loss using classification algorithm. The implementation is to build an intelligent computational tool to identify the non-technical losses and to select its most close feature, considering information from the database with consumer profiles.

Keywords

Multilayer Perceptron, Data mining, Non-Technical Loss (NTL).

How to Cite this Article?

Rajesh, R., Sankari. S. (2014). Measuring the Efficiency of Non Technical Loss in Power Utilities Using Data Mining Techniques. i-manager’s Journal on Computer Science, 2(2), 19-24. https://doi.org/10.26634/jcom.2.2.3230

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