Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{195315,
        author = {Samruddhi Vinod Pawar and Ketan Krishnat Patil and Rajvardhan Mahesh Patil and Aditya Sanjay Kumbhar and Apurva Vivekanand Kumbhar and Dipak A. Sawant and Utkarsh N. Patil},
        title = {Smart Solar Panel Fault Detection System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {88-92},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195315},
        abstract = {The growing global energy demand has accelerated advancements in solar technologies to improve efficiency, reliability, and sustainability. Innovations such as agri photovoltaics enable simultaneous food and energy production, while bifacial PV systems and climate-based resource assessments enhance performance prediction and reduce intermittency risks. Environmental factors like temperature and spectral variations affect PV output, highlighting the need for cooling strategies and adaptive designs. Advanced fault detection methods—combining imaging techniques, electrical testing, artificial intelligence, and IoT-based real-time monitoring—enable predictive maintenance and optimized performance. Overall, the shift toward intelligent, data-driven solar systems is essential to ensure efficient and dependable renewable energy for the future.},
        keywords = {Solar Energy, Photovoltaic Systems, Agriphotovoltaics (APV), Bifacial PV, Solar Resource Assessment, Fault Detection, Infrared Thermography, Artificial Intelligence, IoT Monitoring, Predictive Maintenance, Solar Cooling Techniques, Renewable Energy Sustainability.},
        month = {April},
        }