Smart Load Management Using Arduino

Abstract: This paper presents a smart automatic switching system that controlsasolar-poweredbulb based on peak solar duration while continuously monitoring real-time energy consumption. The system consists of three bulbs,outofwhichtwoare permanently powered by mains electricity, and one bulb is activated solely by solar power during peak sunlight hours. The system utilizes an Arduino microcontroller, relay modules for switching, and sensors to measure voltage, current, and power consumption, with real-time data displayed on an LCD. This approach optimizes solar power utilization, reduces energy consumption, and enables real-timemonitoringforefficiencyanalysis. The proposed system provides a cost-effective and scalable solution for smart energy management.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-16
DOI
https://doi.org/10.22214/ijraset.2025.68717
Primary Topic
Smart Grid Energy Management
Type
article
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article

Smart Load Management Using Arduino

Rohan Salve
International Journal for Research in Applied Science and Engineering Technology
Smart Grid Energy Management
article

Smart Load Management Using Arduino

Rohan Salve
article en

Abstract

Abstract: This paper presents a smart automatic switching system that controlsasolar-poweredbulb based on peak solar duration while continuously monitoring real-time energy consumption. The system consists of three bulbs,outofwhichtwoare permanently powered by mains electricity, and one bulb is activated solely by solar power during peak sunlight hours. The system utilizes an Arduino microcontroller, relay modules for switching, and sensors to measure voltage, current, and power consumption, with real-time data displayed on an LCD. This approach optimizes solar power utilization, reduces energy consumption, and enables real-timemonitoringforefficiencyanalysis. The proposed system provides a cost-effective and scalable solution for smart energy management.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Geological Society of America (US)
Openalex Percentile: Top 94%
Smart Grid Energy Management
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