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Machine learning approach versus prediction formulas to design healthy dwellings in a cold climate

author
Sepulveda Luque, Abel
Eslamirad, Nasim
De Luca, Francesco
source
eCAADe 2023: Digital Design Reconsidered: Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe
publisher
Education and Research in Computer Aided Architectural Design in Europe
year of publication
2023
pages
p. 359-368
series
eCAADe proceedings
conference name, date
The 41st international eCAADe 2023: Digital Design Reconsidered Conference, 20.-22.09.2023
conference location
Graz, Austria
url
https://doi.org/10.52842/conf.ecaade.2023.2.359
subject term
päevavalgus
prognoosimine (majandus)
soojusrežiim
kütmine
ülekuumenemine
elamud
kliima
keyword
optimization
daylight
thermal comfort
overheating
machine-learning predictive model
dwellings
cold climates
ISSN
2684-1843
ISBN
9789491207358
notes
Bibliogr. p. 366-368
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
ehituse ja arhitektuuri instituut
Targa linna tippkeskus
language
inglise
Uurimisrühm
Academy of architecture and urban studies
Sepulveda, A., Eslamirad, N., De Luca, F. Machine learning approach versus prediction formulas to design healthy dwellings in a cold climate // eCAADe 2023: Digital Design Reconsidered: Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe. : Education and Research in Computer Aided Architectural Design in Europe, 2023. p. 359-368. (eCAADe proceedings). https://doi.org/10.52842/conf.ecaade.2023.2.359