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JOURNALS || EIJO Journal of Engineering, Technology and Innovative Research (EIJO – JETIR) [ ISSN : 2455 - 9172 ]
Privacy-preserving energy theft detection techniques for smart grid systems: A review

Author Names : 1Diwakar Agrawal, 2Sunil Kumar Sharma, 3Atul Sharma  Volume 11 Issue 4
Article Overview

Abstract 

Faults Energy is primary resources for running modern industries & households, & electrical energy has become the predominant part of total energy requirement of   mankind. Most of the industrial household equipment run of electrical energy, even automobiles are moving towards electrical energy. Electrical energy is transferred directly to consumers over wire, thus energy metering & billing is an indispensable part of electrical energy distribution system. Conventionally, an employee/ contractor of electrical energy distribution company used to visit consumer premises to take reading from energy meter (electromechanical or electronic type) installed at consumer premises, for billing of energy consumed.

With the advent of IOT & smart grids, a new type of metering has evolved, viz AMI (advanced metering infrastructure) AMI eliminates the need of manual meter reading & sends continuous energy usage data over network (GSM /Optical Fiber/RF) or internet. Deployment of AMI is highly beneficial to energy companies to reduce manpower costs, but usage of AMI also increases the risk of energy theft as consumer premises is rarely visited for maintenance or surprise inspection. This document gives the detail information about the energy theft methodology based on AMI (advanced metering infrastructure).

Keywords: AMI (Advanced Metering Infrastructure), Distributed Totalization Metering, Artificial Intelligence, Cryptography.

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