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

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
Description
Summary:10.1080/19401493.2020.1729862

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