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- W2885993124 abstract "The optimization of the photovoltaic power is crucial for optimal functioning of a photovoltaic system. Several studies have been conducted in recent years developing efficient methods of maximizing the photovoltaic power. Among these methods we distinguish the intelligent control methods based on artificial learning such as artificial neural networks and the classical methods like Perturb & Observe. In this paper we combine between these two distinct methods as a control method of the photovoltaic system, we studied it by testing its ability to face the variation of irradiance." @default.
- W2885993124 created "2018-08-22" @default.
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- W2885993124 date "2018-08-02" @default.
- W2885993124 modified "2023-09-25" @default.
- W2885993124 title "Comparison Between Artificial Neural Network and Its Combination with Perturb & Observe as a MPPT Control Method of Photovoltaic System" @default.
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- W2885993124 doi "https://doi.org/10.1007/978-981-13-1405-6_54" @default.
- W2885993124 hasPublicationYear "2018" @default.
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