Paper Title

IOT BASED ELECTRICITY THEFT DETECTION USING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR SUSTAINABLE ELECTRICITY USAGE

Article Identifiers

Registration ID: IJNRD_211067

Published ID: IJNRD2401076

DOI: Click Here to Get

Authors

Lakshman Prabhu B , Ashwin Kumar E

Keywords

Abstract

This work presents a new system that leverages the Internet of Things (IoT) and state-of-the-art Artificial Intelligence (AI) techniques to combat electricity theft, a major issue, and to advance sustainability in the energy sector. By tracking and analyzing electricity consumption trends in real time, the Internet of Things (IoT)-based approach seeks to identify anomalies and potential theft incidents. Detecting theft in a proactive manner is made possible by our system's integration of these cutting-edge technologies, which also improve the power grid's wider sustainability. Data collection can be done effectively with the integration of IoT devices. Then, using AI algorithms, these data are analyzed to find any consumption anomalies that would enable energy providers to promptly implement corrective measures. The results of the study indicate that this approach has a lot of potential for enhancing the reliability and security of electrical distribution networks. It can also promote sustainable energy use and discourage theft.

How To Cite

"IOT BASED ELECTRICITY THEFT DETECTION USING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR SUSTAINABLE ELECTRICITY USAGE ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 1, page no.a656-a664, January-2024, Available :https://ijnrd.org/papers/IJNRD2401076.pdf

Issue

Volume 9 Issue 1, January-2024

Pages : a656-a664

Other Publication Details

Paper Reg. ID: IJNRD_211067

Published Paper Id: IJNRD2401076

Downloads: 000121279

Research Area: Computer Science & Technology 

Country: Coimbatore, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2401076.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401076

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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