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An improved African vulture optimization algorithm for energy comfort management in occupancy driven smart buildings.

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第一作者： Ghulam,Fizza

第一单位： Department of Electrical and Electronic Engineering, Universiti Kuala Lumpur British Malaysian Institute (UniKL BMI), 53100, Selangor, Malaysia.;Department of Telecommunication Engineering, Quaid-e-Awam University of Engineering, Science and Technology, 67480, Nawabshah, Sindh, Pakistan.

作者： Ghulam,Fizza ^[1] ; Kushsairy,Kadir ^[2] ; Haidawati,Nasir ^[3] ; Muhammad,Islam ^[4] ; Sheroz,Khan ^[5] ; Mohammad,Rashid ^[6]

作者单位： Department of Electrical and Electronic Engineering, Universiti Kuala Lumpur British Malaysian Institute (UniKL BMI), 53100, Selangor, Malaysia.;Department of Telecommunication Engineering, Quaid-e-Awam University of Engineering, Science and Technology, 67480, Nawabshah, Sindh, Pakistan. ^[1] Department of Electrical and Electronic Engineering, Universiti Kuala Lumpur British Malaysian Institute (UniKL BMI), 53100, Selangor, Malaysia. ^[2] Department of Computer Engineering, Universiti Kuala Lumpur Malaysian Institute of Information Technology (UniKL MIIT), 50480, Kuala Lumpur, Malaysia. ^[3] Department of Electrical Engineering, College of Engineering, Qassim University, 52571, Buraydah, Saudi Arabia. muha.khan@qu.edu.sa. ^[4] Department of Electrical Engineering, College of Engineering and Information Technology, Onaizah Colleges, 56447, Onaizah, Saudi Arabia. ^[5] Wireless Communication Center, Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia. ^[6]

关键词 Comfort index Energy consumption Indoor environmental quality Multi trial vector african vulture optimization algorithm (MTV-AVOA)Occupancy Smart building

DOI 10.1038/s41598-025-34440-2

PMID 41507276

发布时间 2026-02-05

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