Exergoeconomic and optimization study of a solar and wind-driven plant employing machine learning approaches; a case study of Las Vegas city
Hamid ShakibiDepartment of Mechanical Engineering, Urmia University, Urmia, IranEhsanolah AssarehSchool of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South KoreaAta ChitsazDepartment of Mechanical Engineering, Urmia University, Urmia, IranSajjad KeykhahDepartment of Mechanical Engineering, Dezful Branch, Islamic Azad University, Dezful, IranMohammadali BehrangDepartment of Mechanical Engineering, Dezful Branch, Islamic Azad University, Dezful, IranMasoud GolshanzadehDepartment of Mechanical Engineering, Dezful Branch, Islamic Azad University, Dezful, IranMaryam GhodratSchool of Engineering and Information Technology, University of New South Wales Canberra, Canberra, 2610, ACT, AustraliaMoonyong LeeSchool of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea
2022en
ABI
Abstract
No abstract available.
Identifiers
Citations and references
Cited by 30 references