Deep learning optimization and techno-environmental analysis of a solar-driven multigeneration system for producing sustainable hydrogen and electricity: A case study of San Francisco
Tao HaiInstitute for Big Data Analytics and Artificial Intelligence (IBDAAI), Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MalaysiaJincheng ZhouKey Laboratory of Complex Systems and Intelligent Optimization of Guizhou, Duyun, Guizhou, 558000, ChinaSattam Fahad AlmojilDepartment of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaAbdulaziz Ibrahim AlmohanaDepartment of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaAbdulrhman Fahmi AlaliDepartment of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaSadok MehrezDepartment of Industrial Engineering, College of Engineering at Al Kharj, Prince Sattam bin Abdulaziz University, 16273, Saudi ArabiaAbdullah MohamedDepartment of Industrial Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Alkharj 16273, Saudi ArabiaKamal SharmaInstitute of Engineering and Technology, GLA University, Mathura, UP, 281406, IndiaAzheen Ghafour MohammedDepartment of Information Technology, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, IraqKhaled Twfiq AlmoalimiDepartment of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia
2022en
ABI
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