What does this research mean for the field?

A low-cost, IoT-based smart monitoring system utilizing an ESP32 microcontroller and cloud analytics enables effective real-time performance tracking and early fault detection in solar photovoltaic installations. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop and implement a low-cost, IoT-based monitoring system with cloud analytics for real-time tracking of solar photovoltaic performance and automated fault detection.

August 23, 2026Open Access

Design and Implementation of an IoT-Based Smart Solar Photovoltaic Monitoring System with Cloud Analytics

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To develop and implement a low-cost, IoT-based monitoring system with cloud analytics for real-time tracking of solar photovoltaic performance and automated fault detection.
Interfaced a 0–25 V resistive voltage sensor and an ACS712 Hall-effect current sensor with an ESP32 microcontroller to digitize sensor readings and compute power and cumulative energy on-device.
Integrated Wi-Fi data transmission to a cloud-based dashboard alongside a local display and rule-based threshold algorithms to identify open circuits, short circuits, and underperformance.
Conducted field testing on a small photovoltaic panel to validate continuous data logging and remote dashboard visualization.
Successfully maintained continuous, real-time logging and remote time-series visualization of voltage, current, power, and cumulative energy.
Accurately identified and flagged simulated open-circuit, short-circuit, and low-yield operating conditions using on-device and cloud logic.

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Implication

Experimental study demonstrates real-time remote monitoring and automated fault detection in solar photovoltaic panels, highlighting a low-cost approach to solar performance supervision.

Cite This Study

Burnwal et al. (2026) studied this question.

synapsesocial.com/papers/6a8aadb47677a34114446183 https://doi.org/10.5281/zenodo.22038924

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Implication

Experimental study demonstrates real-time remote monitoring and automated fault detection in solar photovoltaic panels, highlighting a low-cost approach to solar performance supervision.

Design and Implementation of an IoT-Based Smart Solar Photovoltaic Monitoring System with Cloud Analytics

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Discussion

Implication

Cite This Study

Design and Implementation of an IoT-Based Smart Solar Photovoltaic Monitoring System with Cloud Analytics

Key Points

Discussion

Implication

Cite This Study

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