Machine learning-based optimization design workflow based on obstruction angles for building facades
autor
Sepulveda Luque, Abel
Eslamirad, Nasim
Seyed Salehi, Seyed Shahabaldin
Thalfeldt, Martin
De Luca, Francesco
vastutusandmed
Abel Sepúlveda, Nasim Eslamirad, Seyed Shahabaldin Seyed Salehi, Martin Thalfeldt, Francesco De Luca
allikas
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
kirjastus/väljaandja
eCAADe
Tallinn University of Technology
ilmumisaasta
2023
leheküljed
p. 15-24
konverentsi nimetus, aeg
eCAADe RIS 2023 : 9th Regional International Symposium on Education and Research in Computer Aided Architectural Design in Europe, 15-16 June 2023
konverentsi toimumispaik
Tallinn, Estonia
leitav
https://digikogu.taltech.ee/et/Item/c29fc911-ec34-45da-afe6-bc1e8515e15d
märksõna
päevavalgus
soojus
jahutamine
tehisõpe
büroohooned
kliima
võtmesõna
optimization (EMO)
daylight
thermal comfort
cooling capacity
machine-learning predictive model
office buildings
cold climates
ISBN
9789491207365
teaduspublikatsioon
teaduspublikatsioon
klassifikaator
3.4
TTÜ struktuuriüksus
ehituse ja arhitektuuri instituut
Targa linna tippkeskus
keel
inglise