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Review Article

IoT Based Monitoring and Control of Off-Grid Solar Systems

Chitti Bandari1 Bukkawar Akhila2 Chilla Hemanth3 Thippireddy Srikanth Reddy4 P. Damayanthi5

1 2 3 4 UG Scholar, Department of Electrical and Electronics Engineering, Holy Mary Institute of Technology and Science, Hyderabad, Telangana, India. 5 Assistant Professor, Department of Electrical and Electronics Engineering, Holy Mary Institute of Technology and Science, Hyderabad, Telangana, India.

Published Online: January-April 2026

Pages: 21-23

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Abstract

Off-grid solar power systems are increasingly vital for supplying electricity in remote and underserved regions. However, traditional off-grid systems often lack efficient fault detection, performance monitoring, and remote control capabilities. This paper presents an Internet of Things (IoT)-enabled monitoring and control architecture tailored for off-grid solar installations. The system uses distributed sensors to capture key metrics like solar panel output, battery parameters, and load consumption, and communicates real-time data to a cloud platform via lightweight communication protocols. Users can remotely visualize performance, receive alerts, and adjust operational parameters through a web or mobile interface. Experimental evaluation demonstrates improved system reliability, energy utilization, and maintenance responsiveness.

References

  • 1. Dash, R., & Malik, S. (2020). IoT-Enabled Solar Monitoring: Challenges and Prospects. International Journal of Renewable Energy Systems.

  • 2. Singh, P., Rao, K., & Kumar, P. (2021). GSM-Based Cloud Monitoring of Off-Grid Solar Systems. Journal of Smart Energy Technologies.

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  • 8. Ahmed, S., & Riaz, U. (2019). Modular IoT for Solar Water Pump Solutions. Journal of Embedded Systems.

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  • Resources

Citations

Chitti Bandari, Bukkawar Akhila, Chilla Hemanth, Thippireddy Srikanth Reddy, P. Damayanthi, “IoT Based Monitoring and Control of Off-Grid Solar Systems”, Indian Journal of Electrical and Electronics Engineering, Volume 03, Issue 01, January-April 2026, PP: 21-23.

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Licensing

© 2026 The Author(s). Published by Fifth Dimension Research Publication.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.