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

Registration ID: IJNRD_211067

Published ID: IJNRD2401076

DOI: Click Here to Get

Lakshman Prabhu B , Ashwin Kumar E

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.

Published Paper   E-Certificate

Lakshman Prabhu B & Ashwin Kumar E (January-2024). IOT BASED ELECTRICITY THEFT DETECTION USING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR SUSTAINABLE ELECTRICITY USAGE . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), a656-a664. https://ijnrd.org/papers/IJNRD2401076.pdf

Volume 9 Issue 1, January-2024

Pages : a656-a664

Paper Reg. ID: IJNRD_211067

Published Paper Id: IJNRD2401076

Downloads: 000121988

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

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

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

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