Panel Temperature Dependence on Atmospheric Parameters of an Operative Photovoltaic Park in Semi-Arid Zones Using Artificial Neural Networks

The performance of photovoltaic solar panels is influenced by their temperature, so there is a need for a tool that can accurately and instantly predict the panel temperature. This paper presents an analysis of the panel temperature’s dependence on atmospheric parameters at an operational photovolta...

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Autors principals:	Sonia Montecinos, Carlos Rodríguez, Andrea Torrejón, Jorge Cortez, Marcelo Jaque
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-11-01
Col·lecció:	Energies
Matèries:	photovoltaic park panel temperature artificial neural networks arid zones
Accés en línia:	https://www.mdpi.com/1996-1073/17/23/5844
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