Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The integration of Internet of Things (IoT) technology in renewable energy systems has opened new possibilities for real-time monitoring and efficient energy management. This paper presents the design and implementation of an IoT-based system for monitoring solar power generation and environmental conditions using a Raspberry Pi. The system incorporates various sensors to measure solar panel voltage, current, temperature, humidity, and ambient light intensity. Data collected from the sensors is processed and transmitted by the Raspberry Pi to a cloud platform for real-time visualization and analysis. The proposed system enables remote access to solar performance metrics and environmental parameters, thereby facilitating preventive maintenance, energy efficiency, and informed decision-making. The compact and cost-effective architecture makes it suitable for deployment in rural or off-grid locations. Experimental results demonstrate the effectiveness of the system in monitoring environmental changes and optimizing solar energy utilization.
"IOT-BASED SOLAR POWER AND ENVIRONMENTAL CONDITIONS MONITORING USING RASPBERRY PI", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a339-a343, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506035.pdf
Downloads:
000412
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator