Back to HomeOptimizing dust accumulation quantification on photovoltaic panels using deep learning visual models with hyperparameter optimization
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Research publications and academic contributions in vision, reinforcement learning and environmental systems.
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publishedMuhammad Faizan Tahir*, Samyam Lamichhane*, Anthony Tzes, Yi Fang, Tarek H.M. El-Fouly, Shayan Umar
Renewable Energy • 2025
This paper presents a comprehensive approach to quantifying dust accumulation on photovoltaic panels using advanced vision-based models enhanced with hyperparameter optimization techniques. The study addresses a critical challenge in solar energy systems where dust accumulation significantly impacts energy efficiency and requires accurate monitoring for optimal maintenance scheduling.
Deep LearningComputer VisionSolar EnergyHyperparameter OptimizationRenewable Energy
Last updated: November 27, 2025