Developing machine-learning meta-models for high-rise residential district cooling in hot and humid climate
Autor(en): |
B. Jia
(Centre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada)
D. Hou (Centre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada) A. Kamal (Mechanical Engineering Program, Texas A&M University at Qatar, Doha, Qatar) I. G. Hassan (Mechanical Engineering Program, Texas A&M University at Qatar, Doha, Qatar) L. Wang (Centre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Journal of Building Performance Simulation, Mai 2022, n. 4, v. 15 |
Seite(n): | 1-21 |
DOI: | 10.1080/19401493.2021.2001573 |
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Datenseite - Reference-ID
10648606 - Veröffentlicht am:
07.01.2022 - Geändert am:
20.06.2022