Developing machine-learning meta-models for high-rise residential district cooling in hot and humid climate
Author(s): |
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: | journal article |
Language(s): | English |
Published in: | Journal of Building Performance Simulation, May 2022, n. 4, v. 15 |
Page(s): | 1-21 |
DOI: | 10.1080/19401493.2021.2001573 |
- About this
data sheet - Reference-ID
10648606 - Published on:
07/01/2022 - Last updated on:
20/06/2022