Optimization methods using artificial intelligence algorithms to estimate thermal efficiency of PV/T system

Optimization methods using artificial intelligence algorithms to estimate thermal efficiency of PV/T system

Abstract Renewable energies, specifically solar energy has been employed in numerous applications while being CO2 emission free energy in comparison with fossil fuel resources. The main purpose of this study is to predict thermal efficiency of photovoltaic‐thermal (PV/T) setups in regard with input...

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Bibliographic Details
Main Authors: Mohammad Zamen, Alireza Baghban, S. Mohsen Pourkiaei, Mohammad Hossein Ahmadi
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:Energy Science & Engineering
Subjects:
adaptive neuro‐fuzzy inference system
Intelligent models
least squares support vector machine
optimization, MLP‐ANN
photovoltaic/Thermal
thermal efficiency
Online Access:https://doi.org/10.1002/ese3.312

Internet

https://doi.org/10.1002/ese3.312

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