Occupancy data at different spatial resolutions: Building energy performance and model calibration
10.1016/j.apenergy.2021.116492
Saved in:
Main Authors: | Chong, Adrian, Augenbroe, Godfried, Yan, Da |
---|---|
Other Authors: | DEPT OF BUILDING |
Format: | Article |
Language: | English |
Published: |
ELSEVIER SCI LTD
2021
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/191881 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
Continuous-time Bayesian calibration of energy models using BIM and energy data
by: Adrian Chong, 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) -
Building categorization revisited: A clustering-based approach to using smart meter data for building energy benchmarking
by: ZHAN SICHENG, et al.
Published: (2021) -
A sequential approach for stochastic computer model calibration and prediction
by: Yuan, J., et al.
Published: (2014)