Rule‐based classification of energy theft and anomalies in consumers load demand profile-Reference-Cited by-同舟云学术

Rule‐based classification of energy theft and anomalies in consumers load demand profile

Published:2019-09-13 Issue:4 Volume:2 Page:612-624
ISSN:2515-2947
Container-title:IET Smart Grid
language:en
Short-container-title:IET Smart Grid

Author:

Jain Sonal¹,Choksi Kushan A.²,Pindoriya Naran M.¹^ORCID

Affiliation:

1. Department of Electrical EngineeringIndian Institute of Technology GandhinagarPalaj382355GujaratIndia

2. Department of Electrical EngineeringIndian Institute of Technology BombayPowaiMumbai400076MaharashtraIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-stg.2019.0081

Reference43 articles.

1. ‘Weo‐2017 special report’.International Energy Agency 2017. Available athttps://www.gogla.org/sites/default/files/resource_do/weo2017specialreport_energyaccessoutlook.pdf

2. GoldenM.MinB.: ‘Theft and loss of electricity in an Indian state’ International Growth Centre London School of Economics and Political Science 2012

3. ‘Power theft of Rs 201 crore caught last year’.Daily News & Analysis 2013. Available athttps://www.dnaindia.com/ahmedabad/report‐power‐theft‐of‐rs‐201‐crore‐caught‐last‐year‐1837071

4. A multi‐sensor energy theft detection framework for advanced metering infrastructures;McLaughlin S.;IEEE J. Sel. Areas Commun.,2013

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