Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM7289

IOT Based Smart Energy Meter

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM7289

Volume:

5 |

3 |

Mar 2021

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

M

Mr.P.R.Gunjal

SK

Shubhada Kadlag

ST

Sanika Tapdiya

AK

Aarti Kekan

AP

Asmita Pansare

Author Services & Downloads

Full Articles

Abstract

Electricity theft and inefficient energy monitoring are major challenges faced by power distribution companies worldwide. Conventional energy meters lack real-time monitoring capability and are unable to detect unauthorized power usage effectively. This paper presents the design and implementation of an IoT based Smart Energy Meter with an Anti-Theft Detection System using ESP32. The proposed system measures electrical parameters such as voltage, current, power, and energy consumption using appropriate sensing modules. The collected data is processed by the ESP32 microcontroller and transmitted to a cloud based platform via Wi-Fi for real-time monitoring and analysis. The anti-theft mechanism is implemented by comparing the input current from the main supply with the output current delivered to the load. If a significant mismatch beyond a predefined threshold is detected, the system identifies it as a theft condition and sends an alert notification to the utility provider. By integrating Internet of Things technology with intelligent monitoring and control, the proposed solution enhances transparency, improves billing accuracy, and reduces non-technical losses. The system is scalable, and suitable for residential as well as commercial applications. The proposed system provides an accurate, cost-effective, and reliable solution for smart energy management and electricity theft prevention. Therefore, the IoT-based smart energy meter provides. Therefore, the IoT-based smart energy meter provides a smart, efficient, and cost-effective solution for monitoring electricity usage and detecting unauthorized power consumption in modern smart grid environments.

KEYWORDS

Internet of Things (IoT) Smart Energy Meter Electricity Theft Detection ESP32 Microcontroller Real-Time Monitoring Energy Management Cloud-Based Monitoring

Cite This Article

Mr.P.R.Gunjal, Shubhada Kadlag, Sanika Tapdiya, Aarti Kekan, Asmita Pansare, "IOT Based Smart Energy Meter," International Journal of Scientific Research in Engineering and Management, vol. 5, no. 3, Mar 2021.

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

9/2/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

2

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...