Editorial: Thermal Systems Modeling by Using Machine Learning Methods

被引：0

作者：

Maleki, Akbar ^{[1
]}

Alhuyi Nazari, Mohammad ^{[2
]}

Safdari Shadloo, Mostafa ^{[3
,4
]}

Zhang, Weiping ^{[5
]}

机构：

[1] Shahrood Univ Technol, Fac Mech Engn, Shahrood, Iran

[2] Univ Tehran, Fac New Sci & Technol, Dept Renewable Energies & Environm, Tehran, Iran

[3] Normandie Univ, INSA Rouen, CORIA, CNRS,UMR 6614, Rouen, France

[4] Univ Stuttgart, Inst Chem Proc Engn, Stuttgart, Germany

[5] Zhejiang Univ, Binhai Ind Technol Res Inst, Hangzhou, Peoples R China

来源：

FRONTIERS IN ENERGY RESEARCH | 2022年 / 9卷

关键词：

machine learning; thermal systems; artificial neural network; thermal power plants; thermophysical properties;

D O I：

10.3389/fenrg.2021.789642

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

引用

页数：2

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