Machine learning-based optimization design workflow based on obstruction angles for building facades
author
Sepulveda Luque, Abel
Eslamirad, Nasim
Seyed Salehi, Seyed Shahabaldin
Thalfeldt, Martin
De Luca, Francesco
statement of authorship
Abel Sepúlveda, Nasim Eslamirad, Seyed Shahabaldin Seyed Salehi, Martin Thalfeldt, Francesco De Luca
source
Regenerating the City Performance-driven and Simulation-based Computational Design for Sustainable Cities and Communities : proceedings of the 9th Regional International Symposium on Education and Research in Computer Aided Architectural Design in Europe, Tallinn University of Technology, 15-16 June 2023
publisher
eCAADe
Tallinn University of Technology
year of publication
2023
pages
p. 15-24
conference name, date
eCAADe RIS 2023 : 9th Regional International Symposium on Education and Research in Computer Aided Architectural Design in Europe, 15-16 June 2023
conference location
Tallinn, Estonia
url
https://digikogu.taltech.ee/et/Item/c29fc911-ec34-45da-afe6-bc1e8515e15d
subject term
päevavalgus
soojus
jahutamine
tehisõpe
büroohooned
kliima
keyword
optimization (EMO)
daylight
thermal comfort
cooling capacity
machine-learning predictive model
office buildings
cold climates
ISBN
9789491207365
scientific publication
teaduspublikatsioon
classifier
3.4
TalTech department
ehituse ja arhitektuuri instituut
Targa linna tippkeskus
language
inglise