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.
- DOI
- 10.1016/j.ese.2025.100628
- Published
- 2025 Nov
- Container
- Environmental science and ecotechnology
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.ese.2025.100628,
title = {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.},
author = {Bibri SE and Huang J},
year = {2025},
journal = {Environmental science and ecotechnology},
doi = {10.1016/j.ese.2025.100628},
url = {https://doi.org/10.1016/j.ese.2025.100628}
}RIS
TY - JOUR TI - 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. AU - Bibri SE AU - Huang J PY - 2025 JO - Environmental science and ecotechnology DO - 10.1016/j.ese.2025.100628 UR - https://doi.org/10.1016/j.ese.2025.100628 ER -
APA
SE, B., & J, H. (2025). 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.. Environmental science and ecotechnology. https://doi.org/10.1016/j.ese.2025.100628
Source records
- pubmed · retrieved 2026-09-27T08:08:40.186Z