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In presence, India faces large scale of power crisis. Active power and reactive power monitoring system which works on Wi-Fi module is introduced in this project. Nowadays Energy data collection system is major part of research and development. Through this technique, if any consumer are consuming reactive power then their behaviour with energy uses can easily know and bill also get reduced. Wi-Fi based smart energy meter method is given in this paper to minimize electricity theft, absence of consumer can know reactive power consumption by connecting smart energy meter in office. There are many methods for assembly of energy detail uses. The main goal of the project is to start reducing reactive power consumption by IOT base, microcontroller and LDR sensors. Single phase induction motor are for reactive power consumption and Current Transformer (CT) which generates high amount of current. This all data, Sensors data are given to microcontroller and then it sends to Wi-Fi module according consumer know their power used. Then finally show all energy data, unit utilization, reactive power, penalty factor (power factor) on LCD.
The IoT based smart energy meter is based on Ardiuno. In this system we reduce the human participation in electrical energy maintenance. The theft of the electricity increases the costs paid by customer. Hence this system is used for the detection of theft. The Arduino checks the main meter and sub meter reading. If the difference between the main meter and sub meter is occurred then that theft has occurred message will be display on the LCD display and also display on the thingspeak.
Keywords:
Arduino Uno, Energy meter, LCD Display, current sensor, Energy meter, IOT, WI-FI Module,
Cite Article:
"IOT BASED SMART ENERGY METER USING THEFT DETECTOIN ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a262-a266, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503032.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator