Building performance simulation in the brave new world of artificial intelligence and digital twins: A systematic review

Resource type
Journal Article
Author/contributor
Title
Building performance simulation in the brave new world of artificial intelligence and digital twins: A systematic review
Abstract
In an increasingly digital world, there are fast-paced developments in fields such as Artificial Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the Internet of Things. This paper reviews and discusses how these new emerging areas relate to the traditional domain of building performance simulation. It explores the boundaries between building simulation and these other fields in order to identify conceptual differences and similarities, strengths and limitations of each of these areas. The paper critiques common notions about these new domains and how they relate to building simulation, reviewing how the field of building performance may evolve and benefit from the new developments.
Publication
Energy and Buildings
Volume
292
Pages
113171
Date
2023-08-01
Journal Abbr
Energy and Buildings
ISSN
0378-7788
Short Title
Building performance simulation in the brave new world of artificial intelligence and digital twins
Accessed
12/02/2024, 21:30
Library Catalogue
ScienceDirect
Call Number
openalex:W4377023743
Extra
openalex: W4377023743
Citation
de Wilde, P. (2023). Building performance simulation in the brave new world of artificial intelligence and digital twins: A systematic review. Energy and Buildings, 292, 113171. https://doi.org/10.1016/j.enbuild.2023.113171