Comparative analysis of reinforcement learning and artificial neural networks for inverter control in improving the performance of grid-connected photovoltaic systems

Abstract This research aims to explore the potential applications of artificial intelligence (AI) methods, such as reinforcement learning (RL) and artificial neural networks (ANN), in controlling inverter systems and enhancing the performance of photovoltaic (PV) systems. PV systems are essential fo...

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Autors principals:	Saad A. Mohamed Abdelwahab, Hossam Eldin Khairy, Hossam Yousef, Samia Abdafatah, Moayed Mohamed
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-07-01
Col·lecció:	Scientific Reports
Matèries:	PV Voltage source control (VSC) MPPT RL ANN
Accés en línia:	https://doi.org/10.1038/s41598-025-09507-9
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