Vol.12, No.3, August 2023.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Real-Time Monitoring System Using IoT for Photovoltaic Parameters


Asnil Asnil, Krismadinata Krismadinata, Irma Husnaini, Hanif Hazman, Erita Astrid


© 2023 Asnil Asnil, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 12, Issue 3, Pages 1316-1322, ISSN 2217-8309, DOI: 10.18421/TEM123-11, August 2023.


Received: 16 May 2023.

Revised:   07 July 2023.
Accepted: 08 August 2023.
Published: 28 August 2023.




The monitoring performance of the photovoltaic system in real time is required for estimation and optimization purposes. This monitoring system has been the subject of extensive research, but in general it employs costly commercial software and as well as other license-based software. This paper discusses the design of a photovoltaic parameter monitoring system that uses Internet of Things technology to monitor in real time. This software is intended to be as interactive as possible in order to display all measurement data in the form of graphical according to a user-specified time interval. The constructed system is tested to display the measurement parameters of the fixed and dual axis solar tracker. The test results indicate that the system can display data in real time. Every data shown is accessible from any location and at any time, so long as the device being used is connected to the Internet. This system obviously can be applied and developed for an internet of thing-based photovoltaic parameter monitoring system to facilitate system estimation and optimization.


Keywords –Photovoltaic monitoring, Internet of thing, Thinger.io, photovoltaic parameters, solar radiation.



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