首页|期刊导航|环境科学与生态技术（英文）|AI and AI-powered digital twins for smart,green,and zero-energy buildings:A systematic review of leading-edge solutions for advancing environmental sustainability goals

AI and AI-powered digital twins for smart,green,and zero-energy buildings:A systematic review of leading-edge solutions for advancing environmental sustainability goals

Simon Elias Bibri Jeffrey Huang

环境科学与生态技术（英文）2025，Vol.28Issue(6)：34-74,41.

环境科学与生态技术（英文）2025，Vol.28Issue(6)：34-74,41.DOI:10.1016/j.ese.2025.100628

AI and AI-powered digital twins for smart,green,and zero-energy buildings:A systematic review of leading-edge solutions for advancing environmental sustainability goals

Simon Elias Bibri ¹Jeffrey Huang¹

作者信息

1. Swiss Federal Institute of Technology in Lausanne(EPFL),Institute of Computer and Communication Sciences(IINFCOM),School of Architecture,Civil and Environmental Engineering(ENAC),Media and Design Laboratory(LDM),Lausanne,Route Canontale,1015,Switzerland
折叠

摘要

关键词

Artificial intelligence/Digital twins/Smart buildings/Green buildings/Zero-energy buildings/Environmental sustainability/Built environment/Sustainable smart cities

Key words

Artificial intelligence/Digital twins/Smart buildings/Green buildings/Zero-energy buildings/Environmental sustainability/Built environment/Sustainable smart cities

引用本文复制引用

Simon Elias Bibri,Jeffrey Huang..AI and AI-powered digital twins for smart,green,and zero-energy buildings:A systematic review of leading-edge solutions for advancing environmental sustainability goals[J].环境科学与生态技术（英文）,2025,28(6):34-74,41.

基金项目

The authors acknowledge the financial support provided by Innosuisse for the Blue City Flagship Project(Flagship ID #PFFS-21-03). （Flagship ID #PFFS-21-03）

环境科学与生态技术（英文）

访问量1

下载量0

段落导航