Optimizing energy efficiency and emission reduction: Leveraging the power of machine learning in an integrated compressed air energy storage-solid oxide fuel cell system
Yongfeng WangNetwork and Computing Center, Shenyang Institute of Engineering, Shenyang, 110136, ChinaShuguang LiSchool of Computer Science and Technology, Shandong Technology and Business University, Yantai, 264005, ChinaZainab Ali Bu sinnahDepartment of Mathematics, University Colleges at Nairiyah, University of Hafr Albatin (UHB), Hafr Al-Batin, 31991, Saudi ArabiaRaymond GhandourCollege of Engineering and Technology, American University of the Middle East, 54200, Egaila, KuwaitMohammad Nadeem KhanDepartment of Mechanical and Industrial Engineering, College of Engineering, Majmaah University, Al-Majmaah, 11952, Saudi ArabiaH. Elhosiny AliPhysics Department, Faculty of Science, King Khalid University, P.O. Box 9004, Abha, Saudi Arabia
2024en
ABI
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Cited by 30 references