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What is ANN for Photovoltaic Fault Detection about?

This review discusses the application of Artificial Neural Networks (ANN) for fault detection and diagnosis (FDD) in photovoltaic (PV) systems, highlighting their effectiveness in identifying and classifying various PV faults. The paper systematically analyzes the performance, data types, and configurations of different ANN models used in FDD, noting trends and challenges in the field. It aims to fill a gap in the literature by summarizing applications and providing insights into future prospects for ANN in

Author

wtaiwe

Language

EN