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AI-driven smart grid optimization for hospital energy systems integrating renewable generation, predictive maintenance, and resilient infrastructure.

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第一作者： Md Tanjil,Sarker

第一单位： Centre for Electric Energy and High Voltage, CoE for Robotics and Sensing Technologies, Faculty of Artificial Intelligence and Engineering, Multimedia University, Cyberjaya, 63100, Malaysia. tanjilbu@gmail.com.

作者： Md Tanjil,Sarker ^[1] ; Gobbi,Ramasamy ^[2] ; Marran,Al Qwaid ^[3] ; Md Sabbir,Hossen ^[4] ; Md Golam,Sadeque ^[5]

作者单位： Centre for Electric Energy and High Voltage, CoE for Robotics and Sensing Technologies, Faculty of Artificial Intelligence and Engineering, Multimedia University, Cyberjaya, 63100, Malaysia. tanjilbu@gmail.com. ^[1] Centre for Electric Energy and High Voltage, CoE for Robotics and Sensing Technologies, Faculty of Artificial Intelligence and Engineering, Multimedia University, Cyberjaya, 63100, Malaysia. gobbi@mmu.edu.my. ^[2] Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, 11961, Saudi Arabia. ^[3] Centre for Electric Energy and High Voltage, CoE for Robotics and Sensing Technologies, Faculty of Artificial Intelligence and Engineering, Multimedia University, Cyberjaya, 63100, Malaysia. ^[4] Department of Electrical and Electronics Engineering, Pabna University of Science and Technology, Pabna, 6600, Bangladesh. ^[5]

关键词 AI-driven load management Hospital electrical optimization Microgrid for hospitals Predictive maintenance Renewable integration Resilient healthcare energy systems Smart grid in healthcare

DOI 10.1038/s41598-025-28907-5

PMID 41461791

发布时间 2026-01-01

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准确一般字义偏差语意偏离译文作用小提交