Cloud Connected IoT Platform for Tracking Solar PV Performance Across Diverse Weather Condition

The contribution of the research in this paper presents a new Internet of Things (IoT) platform with cloud computing for the performance monitoring and optimization of solar photovoltaic (PV) systems in varying environmental conditions. The suggested platform has been designed with a real-time massive IoT sensor network for the monitoring of important parameters such as solar irradiance, ambient temperature, humidity, and panel temperature. With cloud computing, the system is calculating this information in real time so rapid assessment can be achieved and continuous monitoring of performance with analysis of the system. Most notable about the platform is its use of advanced analytics and machine learning algorithms, which are used to detect patterns, detect operational anomalies, and predict potential failure of components. This prognostic capacity supports real-time maintenance, lowers system downtime, and optimizes energy generation. Additionally, the remote monitoring and management capability of the platform supports users to stay in command of their solar properties remotely and comfortably from anywhere. The platform was rigorously tested across various climatic regions as well as in varying weather conditions and has become a versatile, reliable, and efficient performer in varied environments. It provides actionable intelligence for maximizing the usage of resources, maximizing energy efficiency, and allowing solar power projects to be sustainable. Scalability of cloud infrastructure allows, beyond integrating new technology, scaling to bigger and better PV system networks. With solar PV system dependability and performance, this IoT solution sets a new standard in the management of renewable energy. It combines technology with sustainability, propelling innovation toward smarter and stronger grids of energy. It is among the major inputs in supporting global action for a shift to cleaner and renewable sources of power, mitigating environmental challenges, and offering the platform for sustainable development. Additionally, the cloud architecture is made extensible and scalable to future technologies such that future-emerging technologies can be added and growth support capability can be made available for wide ranges of PV systems.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/icoei65986.2025.11013715
Citations
1
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
2.48
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Cloud Connected IoT Platform for Tracking Solar PV Performance Across Diverse Weather Condition

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article

Cloud Connected IoT Platform for Tracking Solar PV Performance Across Diverse Weather Condition

J.R. Maria Abishek, R. Vijaya Prakash, T. S. Venkateswaran, M R Kavin, B. Rajeshkumar, I Mukilan
article en
1 citations

Abstract

The contribution of the research in this paper presents a new Internet of Things (IoT) platform with cloud computing for the performance monitoring and optimization of solar photovoltaic (PV) systems in varying environmental conditions. The suggested platform has been designed with a real-time massive IoT sensor network for the monitoring of important parameters such as solar irradiance, ambient temperature, humidity, and panel temperature. With cloud computing, the system is calculating this information in real time so rapid assessment can be achieved and continuous monitoring of performance with analysis of the system. Most notable about the platform is its use of advanced analytics and machine learning algorithms, which are used to detect patterns, detect operational anomalies, and predict potential failure of components. This prognostic capacity supports real-time maintenance, lowers system downtime, and optimizes energy generation. Additionally, the remote monitoring and management capability of the platform supports users to stay in command of their solar properties remotely and comfortably from anywhere. The platform was rigorously tested across various climatic regions as well as in varying weather conditions and has become a versatile, reliable, and efficient performer in varied environments. It provides actionable intelligence for maximizing the usage of resources, maximizing energy efficiency, and allowing solar power projects to be sustainable. Scalability of cloud infrastructure allows, beyond integrating new technology, scaling to bigger and better PV system networks. With solar PV system dependability and performance, this IoT solution sets a new standard in the management of renewable energy. It combines technology with sustainability, propelling innovation toward smarter and stronger grids of energy. It is among the major inputs in supporting global action for a shift to cleaner and renewable sources of power, mitigating environmental challenges, and offering the platform for sustainable development. Additionally, the cloud architecture is made extensible and scalable to future technologies such that future-emerging technologies can be added and growth support capability can be made available for wide ranges of PV systems.

M. Kumarasamy College of Engineering
Climate action
Openalex Percentile: Top 10%
Solar Radiation and Photovoltaics
2.48
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