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Survey: NTL Detection in Electricity Energy Supply

by Jibran Rasheed Khan, Farhan Ahmed Siddiqui, Rehan Rasheed Khan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 9
Year of Publication: 2016
Authors: Jibran Rasheed Khan, Farhan Ahmed Siddiqui, Rehan Rasheed Khan
10.5120/ijca2016912425

Jibran Rasheed Khan, Farhan Ahmed Siddiqui, Rehan Rasheed Khan . Survey: NTL Detection in Electricity Energy Supply. International Journal of Computer Applications. 155, 9 ( Dec 2016), 18-23. DOI=10.5120/ijca2016912425

@article{ 10.5120/ijca2016912425,
author = { Jibran Rasheed Khan, Farhan Ahmed Siddiqui, Rehan Rasheed Khan },
title = { Survey: NTL Detection in Electricity Energy Supply },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 9 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number9/26633-2016912425/ },
doi = { 10.5120/ijca2016912425 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:00:49.055502+05:30
%A Jibran Rasheed Khan
%A Farhan Ahmed Siddiqui
%A Rehan Rasheed Khan
%T Survey: NTL Detection in Electricity Energy Supply
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 9
%P 18-23
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The most essential asset of any country that can boost its development or can destroy it, is electricity. Electricity theft prevention or non-technical loss detection has become major problem around the globe for every developed or under develop country to maintain its status in global society. Every month and every year many researchers, scholars and university students presented their studies, ideas and proposed their electric management system for prevalent of non-technical energy loss detection in transmission line. The core objective of this survey is to highlight the existing solutions, their effectiveness in terms of performance and accuracy and their applicability. This will help in finding a diverse and reliable solution, understanding what others possible methodologies and techniques can be adopted in order to overcome current transmission supply challenges and improve the existing solution that can promptly address electricity prevention issues.

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Index Terms

Computer Science
Information Sciences

Keywords

Electricity Theft Energy Prevention Non-Technical Loss (NTL) Detection Machine Learning Artificial Intelligence Smart Meter AMI

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