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

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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Bibliographic Details
Main Authors: Sonia Montecinos, Carlos Rodríguez, Andrea Torrejón, Jorge Cortez, Marcelo Jaque
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
photovoltaic park
panel temperature
artificial neural networks
arid zones
Online Access:https://www.mdpi.com/1996-1073/17/23/5844
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