IoT based energy monitoring and energy theft detection

One of the greatest issues facing the nation today is the energy crisis. The energy crisis can be mitigated to some extent if people keep track of our energy consumption and avoid wasting it. People nowadays confront a variety of issues, including electricity theft. One’s own country’s economy has a...

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Hauptverfasser: Yadav, Vishakha, Patil, Anita Keshav, Saikumar, P. Janardhan, Shinde, Santaji Krishna, Karunamoorthy, B., Hemavathi, S.
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container_start_page
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container_volume 2690
creator Yadav, Vishakha
Patil, Anita Keshav
Saikumar, P. Janardhan
Shinde, Santaji Krishna
Karunamoorthy, B.
Hemavathi, S.
description One of the greatest issues facing the nation today is the energy crisis. The energy crisis can be mitigated to some extent if people keep track of our energy consumption and avoid wasting it. People nowadays confront a variety of issues, including electricity theft. One’s own country’s economy has a major significant influence on electric power theft and is a type of crime. In this research, an IoT-based power utilizedis proposed andit is measured utilizing current and voltage sensor reading. The proposed IoT technology will readily detect energy theft. This Internet of Things is connected with an Arduino UNO IDE with a Wi-Fi module for IoT connectivity andcustomers will receive information viathe Blynk app. A current sensor is also included in this smart electricity meter, which relays the current information to the microcontroller. Users must connect cell phones to Blynk app so that the electricity theft can be tracked and monitored,which can help you to set up your system. The reading appears on the IoT screen as soon as it activates the system. The reading will be altered following the passage of time. If energy theft occurs, the theft will be detected and displayed on the IoT screen. To prevent theft, the user can use the IoT Blynk app to monitor the tracking of power utilized by the system anywhere and at any time, even after receiving the theft indication signal.
doi_str_mv 10.1063/5.0119807
format Conference Proceeding
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source AIP Journals Complete
subjects Electric relays
Electricity
Electricity distribution
Electricity meters
Energy consumption
Internet of Things
Microcontrollers
Smart grid
Theft prevention
title IoT based energy monitoring and energy theft detection
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