Bayesian calibration at the urban scale: a case study on a largeresidential heating demand application in Amsterdam

10.1080/19401493.2020.1729862

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Bibliographic Details
Main Authors: Cheng-Kai Wang, Simon Tindemans, Clayton Miller, Giorgio Agugiaro, Jantien Stoter
Other Authors: BUILDING
Format: Article
Published: Taylor & Francis 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/170851
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Institution: National University of Singapore
id sg-nus-scholar.10635-170851
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spelling sg-nus-scholar.10635-1708512024-03-26T04:00:52Z Bayesian calibration at the urban scale: a case study on a largeresidential heating demand application in Amsterdam Cheng-Kai Wang Simon Tindemans Clayton Miller Giorgio Agugiaro Jantien Stoter BUILDING 10.1080/19401493.2020.1729862 Journal of Building Performance Simulation 13 03 347-361 2020-07-01T10:02:58Z 2020-07-01T10:02:58Z 2020-02-23 Article Cheng-Kai Wang, Simon Tindemans, Clayton Miller, Giorgio Agugiaro, Jantien Stoter (2020-02-23). Bayesian calibration at the urban scale: a case study on a largeresidential heating demand application in Amsterdam. Journal of Building Performance Simulation 13 (03) : 347-361. ScholarBank@NUS Repository. https://doi.org/10.1080/19401493.2020.1729862 19401493 https://scholarbank.nus.edu.sg/handle/10635/170851 Taylor & Francis Taylor & Francis
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1080/19401493.2020.1729862
author2 BUILDING
author_facet BUILDING
Cheng-Kai Wang
Simon Tindemans
Clayton Miller
Giorgio Agugiaro
Jantien Stoter
format Article
author Cheng-Kai Wang
Simon Tindemans
Clayton Miller
Giorgio Agugiaro
Jantien Stoter
spellingShingle Cheng-Kai Wang
Simon Tindemans
Clayton Miller
Giorgio Agugiaro
Jantien Stoter
Bayesian calibration at the urban scale: a case study on a largeresidential heating demand application in Amsterdam
author_sort Cheng-Kai Wang
title Bayesian calibration at the urban scale: a case study on a largeresidential heating demand application in Amsterdam
title_short Bayesian calibration at the urban scale: a case study on a largeresidential heating demand application in Amsterdam
title_full Bayesian calibration at the urban scale: a case study on a largeresidential heating demand application in Amsterdam
title_fullStr Bayesian calibration at the urban scale: a case study on a largeresidential heating demand application in Amsterdam
title_full_unstemmed Bayesian calibration at the urban scale: a case study on a largeresidential heating demand application in Amsterdam
title_sort bayesian calibration at the urban scale: a case study on a largeresidential heating demand application in amsterdam
publisher Taylor & Francis
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/170851
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