Controlling and Monitoring of Power Theft using Internet of Things

Mohanty, Sumit; Iqbal, M. Mohamed; Thampi, Parvathy

doi:10.1109/icdi3c53598.2021.00031

Cited by 9 publications

(2 citation statements)

References 8 publications

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“…In this research, an IoT-based power theft monitoring and control system is proposed, one that can track the flow of electricity throughout the whole distribution grid from both the origin and the endpoints. This real-time information will allow for automated or manual power shutoffs during power theft (Mohanty et al,2021).…”

Section: Overview Of Usage Power Quality Data In Power Internet Of Th...mentioning

confidence: 99%

Secure Transmission Method of Power Quality Data in Power Internet of Things Based on the Encryption Algorithm

Liu,

Chang,

Yao

et al. 2023

International Journal of Data Warehousing and Mining

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As a new mobile communication technology in the era of the internet of things, 5G is characterized by high speed, low delay, and large connection. It is a network infrastructure to realize human-computer and internet of things in the era of the internet of things. Power quality data is the efficiency with which a power grid delivers electricity to users and expresses how well a piece of machinery uses the electricity it receives. The waveform at the nominal voltage and frequency is the goal of power quality research and improvement. The power internet of things (IoT) is an intelligent service platform that fully uses cutting-edge tech to enable user-machine interaction, data-driven decision-making, real-time analytics, and adaptive software design. The process by which plaintext is converted into cipher text is called an encryption algorithm. The cipher text may seem completely random, but it can be decrypted using the exact mechanism that created the encryption key.

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Section: Overview Of Usage Power Quality Data In Power Internet Of Th...mentioning

confidence: 99%

Secure Transmission Method of Power Quality Data in Power Internet of Things Based on the Encryption Algorithm

Liu,

Chang,

Yao

et al. 2023

International Journal of Data Warehousing and Mining

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“…Regardless of these noble efforts to address electricity theft, Ballal, et al [11] stated that the challenge had reached alarming levels, as shown by the catastrophic impact that the challenge has had on people's lives and various economies across the world. It is on this basis that Mohanty, et al [12], Leninpugalhanthi, et al [13] contend for further exploration of technology-based solutions to curb the persistent electricity-theft phenomenon. Such research findings provide the basis for information to develop solutions.…”

Section: Introductionmentioning

confidence: 99%

Electricity Theft Detection and Prevention Using Technology-Based Models: A Systematic Literature Review

Kgaphola,

Marebane,

Hans

2024

Electricity

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Electricity theft comes with various disadvantages for power utilities, governments, businesses, and the general public. This continues despite the various solutions employed to detect and prevent it. Some of the disadvantages of electricity theft include revenue loss and load shedding, leading to a disruption in business operations. This study aimed to conduct a systematic literature review to identify what technology solutions have been offered to solve electricity theft and the effectiveness of those solutions by considering peer-reviewed empirical studies. The systematic literature review was undertaken following the guidelines for conducting a literature review in computer science to assess potential bias. A total of 11 journal articles published from 2012 to 2022 in SCOPUS, Science Direct, and Web of Science were analysed to reveal solutions, the type of theft addressed, and the success and limitations of the solutions. The findings show that the focus in research is channelled towards solving electricity theft in Smart Grids (SGs) and Advanced Metering Infrastructure (AMI); moreover, there is a neglect in the recent literature on finding solutions that can prevent electricity theft in countries that do not have SG and AMI installed. Although the results reported in this study are confined to the analysed research papers, the leading limitation in the selected studies, lack of real-life data for dishonest users. This study’s contribution is to show what technology solutions are prevalent in solving electricity theft in recent years and the effectiveness of such solutions.

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