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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 GhodratUNSW CanberraMoonyong LeeSchool of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea

2022en

Ochiq kirish: yoʻq

ABI

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Annotatsiya mavjud emas.

Identifikatorlar

DOI: 10.1016/j.jclepro.2022.135529

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