IOT Power Theft Identification and Monitoring 
Abhijeet Kumar1, Divya Gupta2, Akshat Jadon3, Anubhav Kumar4, Jay Singh5
1Abhijeet Kumar*, Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
2Divya Gupta, Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
3Akshat Jadon, Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
4Anubhav Kumar, Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
5Jay Singh, Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
Manuscript received on June 01, 2020. | Revised Manuscript received on June 08, 2020. | Manuscript published on June 30, 2020. | PP: 1100-1103 | Volume-9 Issue-5, June 2020. | Retrieval Number: E1077069520/2020©BEIESP | DOI: 10.35940/ijeat.E1077.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Now a days we can’t imagine today’s life without electricity, almost all the things, equipment and appliances we are using in day to day life are using ELECTRIC power to run smoothly. Ever since the advent of electricity it has become an integral part of our life. Solar energy is the alternative but is has some limitations like environmental changes, high initial cost etc. In todays present world every little appliance works on electricity from the electric toothbrush to huge motors. So from rural to urban and from domestic to industrial areas the use of electricity is increased but with the power theft hand in hand. Using IOT based power theft identification and monitoring a system can find the dishonest user by identifying the status of energy meter at the back end of power office.
Keywords: About four key words or phrases in alphabetical order, separated by commas.