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Optimization of Ex/energy efficiencies in an integrated compressed air energy storage system (CAES) using machine learning algorithms: A multi-objective approach based on analysis of variance

Amr S. AbouziedDepartment of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, Hail, 81442, Saudi ArabiaNaeim FaroukMechanical Engineering Department, Faculty of Engineering, Red Sea University, Port Sudan, SudanMohamed ShabanDepartment of Physics, Faculty of Science, Islamic University of Madinah, Madinah, 42351, Saudi ArabiaAzher M. AbedAir Conditioning and Refrigeration Techniques Engineering Department, College of Engineering and Technologies, Al-Mustaqbal University, Babylon, 51001, IraqFahad M. AlhomayaniApplied College, Taif University, Saudi ArabiaShoira FormanovaDepartment of Chemistry and Its Teaching Methods, Tashkent State Pedagogical University, Tashkent, UzbekistanMohammad Nadeem KhanDepartment of Mechanical and Industrial Engineering, College of Engineering, Majmaah University, Al-Majmaah, 11952, Saudi ArabiaFahad AlturiseDepartment of Cybersecurity, College of Computer, Qassim University, Buraydah, Saudi ArabiaSalem AlkhalafDepartment of Computer Engineering, College of Computer, Qassim University, Buraydah, Saudi ArabiaHind AlbalawiDepartment of Physics, College of Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia

Energyjournal2025en

Ochiq kirish: yoʻq

ABI

Annotatsiya

Annotatsiya mavjud emas.

Mavzular

Energy Load and Power Forecasting Thermodynamic and Exergetic Analyses of Power and Cooling Systems Building Energy and Comfort Optimization

Identifikatorlar

DOI: 10.1016/j.energy.2025.135675

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