Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
10.1016/j.buildenv.2021.108532
Saved in:
Main Authors: | Abdelrahman, Mahmoud M, Chong, Adrian, Miller, Clayton |
---|---|
Other Authors: | THE BUILT ENVIRONMENT |
Format: | Article |
Language: | English |
Published: |
PERGAMON-ELSEVIER SCIENCE LTD
2022
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/229411 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
Design with Comfort: Expanding the psychrometric chart with radiation and convection dimensions
by: Teitelbaum, Eric, et al.
Published: (2022) -
SPATIAL-TEMPORAL INDOOR ENVIRONMENTAL SATISFACTION PREDICTION USING GRAPH NEURAL NETWORKS
by: MAHMOUD MOHAMED MOHAMED ALI ABDELRAHMAN
Published: (2022) -
Humans-as-a-Sensor for Buildings-Intensive Longitudinal Indoor Comfort Models
by: Jayathissa, Prageeth, et al.
Published: (2021) -
A BIM-data mining integrated digital twin framework for advanced project management
by: Pan, Yue, et al.
Published: (2022) -
Personal comfort models based on a 6-month experiment using environmental parameters and data from wearables
by: Tartarini, Federico, et al.
Published: (2023)