Paper Title
MPPT Solar Charge Controller
Article Identifiers
Authors
Suraj Vidhyanand Patil , Deshbhushan Dhanpal Chougule , Sairaj Tukaram Zore , Sanika Uttam Vengurlekar
Keywords
MPPT (Maximum Power Point Tracking) Solar Charge Controller Machine Learning Predictive Maintenance Fault Detection Renewable Energy Photovoltaic Systems Reliability Efficiency Adaptive Optimization Sustainability Data-driven Insights Proactive Intervention Operational Data Analysis Energy Harvesting Efficiency.
Abstract
One potential avenue for future exploration in this project could involve investigating the integration of machine learning algorithms for predictive maintenance and fault detection in MPPT solar charge controllers. By leveraging historical data on system performance and environmental conditions, machine learning models could be trained to identify patterns indicative of component degradation or impending failures. This proactive approach to maintenance could help minimize downtime and extend the lifespan of PV systems, ultimately enhancing their reliability and cost-effectiveness.
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How To Cite (APA)
Suraj Vidhyanand Patil, Deshbhushan Dhanpal Chougule, Sairaj Tukaram Zore, & Sanika Uttam Vengurlekar (April-2024). MPPT Solar Charge Controller. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), f454-f461. https://ijnrd.org/papers/IJNRD2404556.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : f454-f461
Other Publication Details
Paper Reg. ID: IJNRD_219159
Published Paper Id: IJNRD2404556
Downloads: 000121982
Research Area: Electronics & Communication Engg.Â
Country: Kolhapur, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404556.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404556
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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