JCOM_V2_N2_RP3 Rajesh R. Siva Sankari Journal on Computer Science 2347–6141 2 2 19 24 Multilayer Perceptron, Data mining, Non-Technical Loss (NTL) 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. June - August 2014 Copyright © 2014 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3230