Continuous-time Bayesian calibration of energy models using BIM and energy data
10.1016/j.enbuild.2019.04.017
Saved in:
Main Authors: | Adrian Chong, Weili Xu, Song Chao, Ngoc-Tri Ngo |
---|---|
Other Authors: | DEPT OF BUILDING |
Format: | Article |
Language: | English |
Published: |
ELSEVIER SCIENCE SA
2021
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/191897 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
DEVELOPING A NOVEL FRAMEWORK FOR BIM-ENABLED PARAMETRIC MODELLING AND BUILDING ENERGY SIMULATION
by: IFEN SEELEN
Published: (2023) -
EFFECTIVENESS OF BIM-BASED ENERGY ANALYSIS OF BUILDINGS IN SINGAPORE
by: LIM CHI PHENG GORDON
Published: (2022) -
Occupancy data at different spatial resolutions: Building energy performance and model calibration
by: Chong, Adrian, et al.
Published: (2021) -
Guidelines for the Bayesian calibration of building energy models
by: Adrian Chong, et al.
Published: (2021) -
Bayesian calibration of building energy models with large datasets
by: Chong, Adrian, et al.
Published: (2021)