Artificial Intelligence and the Prospects for Net-Zero Energy and Net-Zero Carbon Buildings: A Science Mapping Analysis Using Digital Twins and Geographic Information Systems
- DOI
- 10.3390/cleantechnol8050139
- Published
- 09
- Container
- Clean Technologies
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/cleantechnol8050139,
title = {Artificial Intelligence and the Prospects for Net-Zero Energy and Net-Zero Carbon Buildings: A Science Mapping Analysis Using Digital Twins and Geographic Information Systems},
author = {Quddus Tushar and Muhammed A. Bhuiyan and Ziyad Abunada and Md Nurun Nabi and Lei Hou and Charles Lemckert and Filippo Giustozzi},
year = {2026},
journal = {Clean Technologies},
doi = {10.3390/cleantechnol8050139},
url = {https://doi.org/10.3390/cleantechnol8050139}
}RIS
TY - JOUR TI - Artificial Intelligence and the Prospects for Net-Zero Energy and Net-Zero Carbon Buildings: A Science Mapping Analysis Using Digital Twins and Geographic Information Systems AU - Quddus Tushar AU - Muhammed A. Bhuiyan AU - Ziyad Abunada AU - Md Nurun Nabi AU - Lei Hou AU - Charles Lemckert AU - Filippo Giustozzi PY - 2026 JO - Clean Technologies DO - 10.3390/cleantechnol8050139 UR - https://doi.org/10.3390/cleantechnol8050139 ER -
APA
Tushar, Q., Bhuiyan, M. A., Abunada, Z., Nabi, M. N., Hou, L., Lemckert, C., & Giustozzi, F. (2026). Artificial Intelligence and the Prospects for Net-Zero Energy and Net-Zero Carbon Buildings: A Science Mapping Analysis Using Digital Twins and Geographic Information Systems. Clean Technologies. https://doi.org/10.3390/cleantechnol8050139
Source records
- doaj · retrieved 2026-11-10T11:38:25.024Z