IoT Based Solar System Monitoring and Load Management for Small Farm

Islam, Thohidul; Qureshi, Md. Jasim Uddin; Mitra, Papri; Nasir, Md Farhan

doi:10.1109/globconet53749.2022.9872439

Cited by 1 publication

(1 citation statement)

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“…However, effective monitoring and management of solar power systems are critical to optimize their performance and ensure their reliable operation. In this research paper, we present an integrated solution for solar power monitoring using NodeMCU, an open source [3] Internet of Things (IoT) platform and deploying it onto ThingSpeak cloud server. We discuss the design, implementation, and evaluation of a solar power monitoring system that leverages the capabilities of NodeMCU along with voltage sensors to collect, process, and visualize real-time data from solar panels, and other system components.…”

Section: Introductionmentioning

confidence: 99%

An Internet of Things based Solar Power Monitoring System using Node MCU

Thopate,

Shilaskar,

Bhatlawande

2023

IJRITCC

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Solar power systems are increasingly being adopted as a renewable energy solution worldwide. However, effective monitoring and management of these systems are crucial for optimizing their performance and ensuring their reliable operation. In this research paper, we propose a solar power monitoring system using NodeMCU, an open-source IoT platform. Our system collects, processes, and visualizes real-time data from solar panels, batteries, and other qsystem components, providing comprehensive monitoring capabilities for solar power system owners. The system is designed to be cost-effective and scalable, making it suitable for both residential and commercial applications. Through our research, we demonstrate the feasibility and effectiveness of our solar power monitoring system using NodeMCU. The findings contribute to the field of renewable energy management by offering an innovative approach to monitor and optimize solar power systems, promoting the wider adoption of renewable energy sources for a sustainable future.

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Section: Introductionmentioning

confidence: 99%