An Efficient Analysis of Cloud-based Energy Management System for Secure Data Transmission

The traditional method of manual electricity meter reading has limitations, including human errors, inefficiency, and resource intensity. This research proposes a Smart GSM-Based Automated Power Meter Reader System to streamline power consumption monitoring. The system utilizes a GSM module integrated with a digital energy meter to provide real-time, remote power consumption data to utility providers and consumers. This approach reduces manual intervention, enhances accuracy, and promotes energy management. Finally, a user-friendly interface is developed to visualize real-time energy statistics through interactive graphs and tables, enabling users to track consumption trends and make informed decisions.

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Publication Details

Journal
Journal of Electrical Engineering and Automation
Published
2024-12-21
DOI
https://doi.org/10.36548/jeea.2024.4.002
Citations
3
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.63
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article

An Efficient Analysis of Cloud-based Energy Management System for Secure Data Transmission

Dinesh Rajassekharan, Abbylashnny A P A Murugan
3 citations
Journal of Electrical Engineering and Automation
Smart Grid Energy Management
0.63
article

An Efficient Analysis of Cloud-based Energy Management System for Secure Data Transmission

Dinesh Rajassekharan, Abbylashnny A P A Murugan
article en
3 citations

Abstract

The traditional method of manual electricity meter reading has limitations, including human errors, inefficiency, and resource intensity. This research proposes a Smart GSM-Based Automated Power Meter Reader System to streamline power consumption monitoring. The system utilizes a GSM module integrated with a digital energy meter to provide real-time, remote power consumption data to utility providers and consumers. This approach reduces manual intervention, enhances accuracy, and promotes energy management. Finally, a user-friendly interface is developed to visualize real-time energy statistics through interactive graphs and tables, enabling users to track consumption trends and make informed decisions.

Journal of Electrical Engineering and AutomationVol. 6(4)
Multimedia University (MY), Lincoln University College (MY)
Affordable and clean energy
Openalex Percentile: Top 30%
Smart Grid Energy Management
0.63
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