A Feature Extraction of Photovoltaic Solar Panel monitoring system based on Internet of Things (IoT)





Internet of Things, Liquid Crystal Display, Photovoltaic Solar Panel, Maximum Power Point Tracking


INTRODUCTION: The Internet of Things (IoT) is an modern technology that improves user experience and gives items more intelligence. A large number of applications have already embraced the IoT. Our lives were made significantly easier and more accessible by the development of the IoT. In this research a photovoltaic solar panel system has been monitored using IoT.

OBJECTIVES: The feature extraction of a photovoltaic solar panel monitoring system based on the IoT working process is provided in this work. The implementation of maximum power point tracking (MPPT) algorithm also covered, along with a brief description of the pre-processing method, datasets and the PV system features are extracted.

METHODS: The model develops a thorough grasp to increase the voltage and current efficiency, a maximum power point tracking technique (MPPT) is implemented in this research study.

RESULTS: A safer solar panel monitoring system displays the result in LCD display screen it shows various readings, including the IP address, voltage and current rating, light intensity, temperature, and fault occur on the system receive warning message.

CONCLUSION: The proposed solar panel monitoring system demonstrates high level voltage and current accuracy when compared to the existing method.


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Vignesh, R, Samydurai A.Automatic Monitoring and Lifetime Detection of Solar Panels Using Internet of Things. International Journal of Innovative Research in Computer and Communication Engineering. 2017; Vol.5, pp. 7014-7020.

Vazhuthi P, Manikandan S, Aruchamy P, An energy‐efficient auto clustering framework for enlarging quality of service in Internet of Things‐enabled wireless sensor networks using fuzzy logic system. Concurrency and Computation: Practice and Experience. 2022; Vol.34, pp. 1-34. DOI: https://doi.org/10.1002/cpe.7269

Sonali Laksham Dushing, Naik A V. Solar Energy Monitoring for IoT with fault detection and temperature sensing mechanism. Journal of Emerging Technologies and Innovative Research. 2020;Vol.7, pp .1391 -1395.

Harshavarthini E, Remote based Solar Energy Monitoring system using IoT. International Research Journal of Modernization in Engineering Technology and Science.2022; Vol.4, pp .837-839.

Nagalakshmi R, Kishore Babu B, Prashanth D. Design and Development of a Remote Monitoring and Maintenance of Solar Plant Supervisory System. International Journal Of Engineering And Computer Science.2014; Vol.3,pp. 9382-9385.

Sheikh Hasib Cheragee, Nazmul Hassan. A Study of IoT based real-time solar power remote Monitoring System. International Journal of Ambient Systems and Applications. 2021; Vol.9, pp. 27-36. DOI: https://doi.org/10.5121/ijasa.2021.9204

Bipin Krishna, Kaustav Sinha. Tracking of Sun for Solar Panels and Real-Time Monitoring Using LabVIEW. Journal of Automation and Control Engineering.2013; Vol. 1, pp.1-4. DOI: https://doi.org/10.12720/joace.1.4.312-315

Soham Adhya, Dipak Saha, Abhijit Das, Joydip Jana, Hiranmay Saha,An IoT Based Smart Solar Photovoltaic Remote Monitoring and Control unit. In :IEEE International Conference on Control, Instrumentation, Energy & Communication(CIEC). 2016.pp.432-436 . DOI: https://doi.org/10.1109/CIEC.2016.7513793

Bruno Ando, Salvatore Baglio, Antonio Pistorio,Sentinella. Smart monitoring of photovoltaic system at panel level.In: IEEE Transaction on Instrumentation and measurement.2015. Vol.64, pp.2188-2199. DOI: https://doi.org/10.1109/TIM.2014.2386931

Renata I,Pereira S, Ivonne M. IoT Embedded Linux System based on Raspberry Pi applied to Real- Time Cloud Monitoring of a decentralized Photovoltaic plant. International Journal of measurement Elsevier.2017; Vol.2, pp.1-18.

Papageorgas P, Piromalis D, Antonakoglou K. Smart Solar Panels: In-situ monitoring of photovoltaic panels based on wired and wireless sensor networks.In: International Conference on Advancements in Renewable Energy and Clean Environment.2013. Vol.36, pp. 535-545. DOI: https://doi.org/10.1016/j.egypro.2013.07.062

Rajalingam S.Malathi V. HEM algorithm-based smart controller for home power management system. International Journal of Energy and Buildings ELSEVIER.2016; Vol.131, pp. 184- 192. DOI: https://doi.org/10.1016/j.enbuild.2016.09.026




How to Cite

J. Saranya and V. Divya, “A Feature Extraction of Photovoltaic Solar Panel monitoring system based on Internet of Things (IoT)”, EAI Endorsed Trans IoT, vol. 10, Mar. 2024.