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Frontiers in Energy Research
(Feb 2022)
Editorial: Thermal Systems Modeling by Using Machine Learning Methods
Akbar Maleki,
Mohammad Alhuyi Nazari,
Mostafa Safdari Shadloo,
Mostafa Safdari Shadloo,
Weiping Zhang
Affiliations
Akbar Maleki
Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran
Mohammad Alhuyi Nazari
Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
Mostafa Safdari Shadloo
CORIA-CNRS (UMR 6614), Normandie University, INSA of Rouen, Rouen, France
Mostafa Safdari Shadloo
Institute of Chemical Process Engineering, University of Stuttgart, Stuttgart, Germany
Weiping Zhang
Binhai Industrial Technology Research Institute of Zhejiang University, Hangzhou, China
DOI
https://doi.org/10.3389/fenrg.2021.789642
Journal volume & issue
Vol. 9
Abstract
Read online
No abstracts available.
Keywords
machine learning
thermal systems
artificial neural network
thermal power plants
thermophysical properties
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