IoT Based Electricity Theft Detection System

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 12 | 02 | Page : –
    By

    Ashutosh Raj,

  • Kunwar Rishabh Singh,

  • Mohd Raza,

  1. Student, Department Electronic and Communication, Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, India
  2. Student, Department Electronic and Communication, Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, India
  3. Assistant Professor, Department Electronic and Communication, Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, India

Abstract

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The proliferation of smart grids and advanced metering infrastructure has paved the way for innovative solutions to tackle the longstanding issue of electricity theft. This paper presents an IoT-based electricity theft detection system that leverages real-time data analytics and machine learning algorithms to identify potential theft cases. The proposed system utilizes smart meters to collect electricity consumption data, which is then transmitted to a central server for analysis. The system employs a combination of statistical and machine learning techniques to detect anomalies in consumption patterns, indicating potential theft. The system’s effectiveness is evaluated using real-world data, demonstrating its ability to accurately detect electricity theft while minimizing false positives. The IoT-based approach enables real-time monitoring and swift action against theft, reducing revenue losses for utilities. Furthermore, the system’s scalability and flexibility make it suitable for large-scale deployment in urban and rural areas. The proposed system has significant implications for utilities, policymakers, and consumers, as it can help reduce electricity theft, promote energy efficiency, and ensure a more reliable power supply. By harnessing the power of IoT and data analytics, this system offers a promising solution to the pervasive problem of electricity theft, ultimately contributing to a more sustainable and equitable energy future. The system’s potential to integrate with existing smart grid infrastructure and its adaptability to various electricity distribution scenarios make it an attractive solution for utilities seeking to modernize their operations and combat energy theft effectively. Overall, this IoT-based electricity theft detection system represents a significant step forward in the quest to create more efficient, reliable, and secure electricity distribution networks.

Keywords: IOT based electricity Smart grid security, smart energy meters, IOT security

How to cite this article:
Ashutosh Raj, Kunwar Rishabh Singh, Mohd Raza. IoT Based Electricity Theft Detection System. Journal of Semiconductor Devices and Circuits. 2025; 12(02):-.
How to cite this URL:
Ashutosh Raj, Kunwar Rishabh Singh, Mohd Raza. IoT Based Electricity Theft Detection System. Journal of Semiconductor Devices and Circuits. 2025; 12(02):-. Available from: https://journals.stmjournals.com/josdc/article=2025/view=0


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References

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Ahead of Print Subscription Review Article
Volume 12
02
Received 06/05/2025
Accepted 30/05/2025
Published 11/06/2025
Publication Time 36 Days
97

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