Submit your paper : editorIJETjournal@gmail.com

Paper Title : MINIMIZING ELECTRICITY THEFT USING INTERNET OF THINGS

ISSN : 2395-1303
Year of Publication : 2021
10.29126/23951303/IJET-V7I3P28

Authors: Sai Krishna Kanth D , S Srikanta Deekshit, Supriya K , Vara Prasad D , Vineela T, Siva Sai Kumar M

         


Abstract
- IOT use things to things connection to access the web of things allow data to store and access services. Services over internet of things developed as per need of person to person, thing to person, machine to machine interactions without human interference. Energy crisis is one among the main problems that the planet faces today. The simplest solution for this is often not the rise in energy production, but the effective use of obtainable energy. By avoiding energy wastage and properly monitoring our energy consumption, energy crisis are often reduced to a particular extent. Various wireless communication systems are available to identify the power theft, but lacks the specified infrastructure needed to use them. This project’s aim is to style a system to watch the power consumed by load and to detect and eliminate the power theft in transmission lines. This work is additionally focused on communicating the theft information to Electricity Board (EB) through IoT. Power theft detector kit has been implemented using IOT. The implementation of this technique will help and save great deal of electricity

Reference
[1] C.Subramani, Baibhav Amrit, Priti Singh, Siddharth Manna, “Smart Power Theft Detection Using Arduino And GSM Module”, International Journal Of Advanced Science And Technology vol. 29, No.4, (2020), Pp. 4456-4462. [2] Oscar Famous Darteh , Charity Oseiwah Adjei , Raphael Anaadumba , Sajib Sarker , Goma T.F.J. Christian, “Design Of Internet Of Things Based Electricity Theft Detection Using Raspberry PI”, International Journal Of Engineering Research & Technology (IJERT), Vol. 10, Issue 02, February2021,506-511. [3] Ashwitha K , Gracy A , Pooja Sree M , Somashekar B , Dhayanand B R, “Power Theft Prevention System Using Iot”, International Journal Of Current Engineering And Scientific Research (Ijcesr), Issn (Print): 2393-8374, (Online): 2394-0697, Volume-6, Issue-6, 2019
Keywords
— IOT, Arduino UNO, ESP8266, Current Sensor, Blynk Software.