IOT based smart electricity meter control and surveillance for prediction future meter consumption using machine learning

June 2021
Vol-7, Issue-3
Paper ID: 14569
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
smartmeter energysaving electrcityprediction powersaving electricity power saving
Abstract
Electricity is the heart of today’s world. And now the world is going to be digital so electricity is a very much important aspect. Generation and supply of electricity is the fundamental task of the electricity board but it is also valuable to compute the energy used by the customer that is seizing readings and produce the bills. In the current scenario taking reading and generating bills is manual work. It is very time-consuming. Energy stealing is one of the largest problems in India. Sometimes the user is not paid the bills on time so the electricity board worker cut the power supply manually. In this case, sometimes corruption is done by the user or that worker which leads to the loss of electricity board. In some regions cameras also utilized to take a reading but it is a very complex system and not so user friendly. To prevent all these troubles, we presented a wireless technique for smart and intelligent electricity meter and billing system utilizing IoT (Internet of Things). We also tried the relays to cut down the energy supply of overdue unpaid user which would be regulated wirelessly utilizing the IoT theory. Reading will be taken automatically and users get the notification through the message using GSM.

Author Information

# Name Institute / Affiliation
1 Santosh Hadapad JSPM’s Campus, Imperial College of Engineering Research, Wagholi Gate No. 720, 12, Nagar Rd, Wagholi, Pune, Maharashtra 412207
2 Jyoti Gupta JSPM’s Campus, Imperial College of Engineering Research, Wagholi Gate No. 720, 12, Nagar Rd, Wagholi, Pune, Maharashtra 412207
3 Saurabh Patil JSPM’s Campus, Imperial College of Engineering Research, Wagholi Gate No. 720, 12, Nagar Rd, Wagholi, Pune, Maharashtra 412207
4 Mahesh Putage JSPM’s Campus, Imperial College of Engineering Research, Wagholi Gate No. 720, 12, Nagar Rd, Wagholi, Pune, Maharashtra 412207
5 Prof.Ashish Gaigol JSPM’s Campus, Imperial College of Engineering Research, Wagholi Gate No. 720, 12, Nagar Rd, Wagholi, Pune, Maharashtra 412207

How to Cite

Use the following formats to cite this article in your research.

APA Style
Hadapad, Santosh, Gupta, Jyoti, Patil, Saurabh, Putage, Mahesh, & Gaigol, Prof.Ashish (2021). IOT based smart electricity meter control and surveillance for prediction future meter consumption using machine learning. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 2258-2263.
MLA Style
Hadapad, Santosh, et al. "IOT based smart electricity meter control and surveillance for prediction future meter consumption using machine learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 2258-2263.
IEEE Style
Santosh Hadapad, Jyoti Gupta, Saurabh Patil, Mahesh Putage, and Prof.Ashish Gaigol, "IOT based smart electricity meter control and surveillance for prediction future meter consumption using machine learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 2258-2263, 2021.
Vancouver Style
Hadapad Santosh, Gupta Jyoti, Patil Saurabh, Putage Mahesh, Gaigol Prof.Ashish. IOT based smart electricity meter control and surveillance for prediction future meter consumption using machine learning. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):2258-2263.
Harvard Style
Hadapad, Santosh, Gupta, Jyoti, Patil, Saurabh, Putage, Mahesh, & Gaigol, Prof.Ashish (2021) 'IOT based smart electricity meter control and surveillance for prediction future meter consumption using machine learning', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 2258-2263.
Chicago Style
Hadapad, Santosh, et al. "IOT based smart electricity meter control and surveillance for prediction future meter consumption using machine learning." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2258-2263.
Turabian Style
Hadapad, Santosh, et al. "IOT based smart electricity meter control and surveillance for prediction future meter consumption using machine learning." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2258-2263.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable