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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2020
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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 |
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10.1080/19401493.2020.1729862 |
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BUILDING Cheng-Kai Wang Simon Tindemans Clayton Miller Giorgio Agugiaro Jantien Stoter |
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Cheng-Kai Wang Simon Tindemans Clayton Miller Giorgio Agugiaro Jantien Stoter |
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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 |
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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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1795300956753100800 |