International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Theft Identification System Design for the Electricity Using Global System Module

Dr. Shailendra kumar dhakadProfessor (ECE), Department of ECE, Malla Reddy College of Engineering for Women, HyderabadThangedi kishoreAsst. Professor (ECE), Department of ECE, Malla Reddy College of Engineering for Women, Hyderabad

Vol 4 No 8 (2020): Volume 4, Issue 8, August 2020 | Pages: 47-50

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 23-02-2022

doi Logo doi.org/10.47001/IRJIET/2020.408008

pdf iconFull Text PDF
Abstract

Electrical energy is very important for day to daylife .wherever the Electricity isneeded more; the power theft is also increased. Electricity theft, which is arises due to population and also wastage of power. The usage of power is more in industries compare to houses. Objective of this project is to design a system in order to avoid the inconvenience for the users from theft bill by using GSM module. In this system the GSM MODEM is used for detect the theft while it’s happen. The sensor is used to sense where will be the theft occur. The sensing information is intimated to the consumer office through the sensors in the form of message signal or a voice message. So the illegal power usage of power consumption can be avoided. The load sharing is as method, used to share the electricity power for all the users in a particular area. The load sharing circuit is connected to each and every pole in the transmission line. It can receive the incoming power from   the load and it delivers the power to the consumer for their need. If any drastic change in the power usage, the Real Time Clock (RTC) is used to gives the information about the usage of additional power usage. So it is help to detect the theft when and where it happens.   The entire system is for detect and avoid the illegal usage of power. In order to integrate the various systems together we must first properly understand the working of the entire system. A brief study is alone on the components and the technology which we are going to use in our project.

Keywords

.


Citation of this Article
.
Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
References
[1].S.Amin, G.Schwartz and H. Tembine”, incentives and security in electricity distribution networks” in decision and game theory for security. Berlin, Germany:Spinger-verlag,2012.[2].J.Nagi , K. S. Yap, K. Sieh, S. Ahmed, and M. Mohamad,“Non technical loss detection for metered customers in power utility using support vector machines,” IEEE Trans. Power Del., Apr. 2010.[3]. A. A. Cardenas, S. Amin, G. Schwartz, R. Dong, and S. Sastry , “A game theory model for electricity theft detection and privacy-aware control in AMI systems,” in Proc. IEEE Allerton Conf. Commun. Control Comput., Monticello, IL, USA, 2012.[4]. H.G. Rodney, this paper presents of design and development of Automatic meter reading(AMR) system. AMR system is a boom for remote monitoring and control domestic energy meter.[5]. M.V. Ramesh, This design incorporates effective solutions for problems faced by India’s electricity distribution system such as power theft and transmission line fault.[6]. ZHOU Wei, ZHU Rui-de, WANG Jin-quan.GSMbasedmonitoring and control system          againstelectricity stealing. Electric Power AutomationEquipment, 2004.[7].S. Depuru, L. Wang, V. Devabhaktuni, and P. Nelapati, “A hybrid neuralnetwork model and encoding technique for enhanced classificationof energy consumption data,” in Proc. IEEE Power Energy Soc. Gen.Meeting, San Diego, CA, USA, 2011, pp. 1–8.[8]. S. Depuru, L. Wang, V. Devabhaktuni, and R. C. Green, “High performancecomputing fordetection of electricity theft,” Int. J. Elect. PowerEnergy Syst., vol. 47, pp. 21–30, May 2013.[9]. M. D. Martino, F. Decia, J. Molinelli, and A. Fernández, “Improvingelectric fraud detection using class imbalance strategies,” in Proc.ICPRAM, vol. 2. Vilamoura, Portugal, 2012, pp. 135–141.

Copyright @ 2026 IRJIET. All Right Reserved.

Licensed underCreative Commons Attribution 4.0 International License.