Using Machine Learning for Detection and Classification of Single and Mixed Faults in Photovoltaic Systems
This study proposes a machine learning-based approach for the detection and classification of single and mixed faults in a photovoltaic system based on representative electrical parameters. Six classification algorithms were compared in order to identify the most effective model. In order to reduce the impact of class...