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Author

P. Sonawane

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2 papers indexed here

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Conference Aug 2026

Comparative Analysis of Deep Learning Models for Photovoltaic Defect Classification Using Drone Imagery

The effective production of solar power energy in terms of efficiency will take place due to the quick detection of the defects in the photovoltaic cells. Manual techniques used to detect defects in the photovoltaic panels are very costly and time-consuming. This paper therefore mainly refers to the method of designing...

Dipali Bendale, Sheetal U. Bhandari, P. Sonawane et al. · 0 citations
Conference Aug 2026

Analysis of Machine Learning Techniques for Electrical Fault Detection in Photovoltaic Panels

Because solar energy is sustainable, economical, low-maintenance, and pollution-free, its use has grown lately. However, a number of mechanical and electrical issues with the solar panels restrict the solar farms' performance. In this research, machine learning (ML) methods such as Naïve Bayes (NB), Random Forest (RF),...

Dipali Bendale, Sheetal U. Bhandari, P. Sonawane · 0 citations

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