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What is Dust Impact on PV Performance Analysis about?

This research paper conducts a comparative analysis of artificial neural networks (ANN) and support vector regression (SVR) models to predict the power output of photovoltaic (PV) systems affected by various types of dust accumulation. The study finds that the SVR model outperforms the ANN model in terms of prediction accuracy, with lower root mean square error and higher R-value. The findings suggest that these models can be utilized for real-time monitoring and predictive maintenance of PV systems in futu

Author

rupendra.upes

Language

EN