Guidelines for the Bayesian calibration of building energy models

10.1016/j.enbuild.2018.06.028

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Bibliographic Details
Main Authors:	Adrian Chong, Kathrin Menberg
Other Authors:	DEPT OF BUILDING
Format:	Article
Language:	English
Published:	ELSEVIER SCIENCE SA 2021
Subjects:	Science & Technology Technology Construction & Building Technology Energy & Fuels Engineering, Civil Engineering Bayesian calibration Building energy modeling Building simulation Gaussian process Hamiltonian Monte Carlo SENSITIVITY-ANALYSIS METHODS COMPUTER-MODELS UNCERTAINTY SIMULATION PREDICTION DESIGN
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/191893
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-191893
record_format	dspace
spelling	sg-nus-scholar.10635-1918932023-09-01T09:25:10Z Guidelines for the Bayesian calibration of building energy models Adrian Chong Kathrin Menberg DEPT OF BUILDING Science & Technology Technology Construction & Building Technology Energy & Fuels Engineering, Civil Engineering Bayesian calibration Building energy modeling Building simulation Gaussian process Hamiltonian Monte Carlo SENSITIVITY-ANALYSIS METHODS COMPUTER-MODELS UNCERTAINTY SIMULATION PREDICTION DESIGN 10.1016/j.enbuild.2018.06.028 ENERGY AND BUILDINGS 174 527-547 2021-06-09T01:12:30Z 2021-06-09T01:12:30Z 2018-09-01 2021-06-08T07:55:59Z Article Adrian Chong, Kathrin Menberg (2018-09-01). Guidelines for the Bayesian calibration of building energy models. ENERGY AND BUILDINGS 174 : 527-547. ScholarBank@NUS Repository. https://doi.org/10.1016/j.enbuild.2018.06.028 0378-7788 1872-6178 https://scholarbank.nus.edu.sg/handle/10635/191893 en ELSEVIER SCIENCE SA Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Technology Construction & Building Technology Energy & Fuels Engineering, Civil Engineering Bayesian calibration Building energy modeling Building simulation Gaussian process Hamiltonian Monte Carlo SENSITIVITY-ANALYSIS METHODS COMPUTER-MODELS UNCERTAINTY SIMULATION PREDICTION DESIGN
spellingShingle	Science & Technology Technology Construction & Building Technology Energy & Fuels Engineering, Civil Engineering Bayesian calibration Building energy modeling Building simulation Gaussian process Hamiltonian Monte Carlo SENSITIVITY-ANALYSIS METHODS COMPUTER-MODELS UNCERTAINTY SIMULATION PREDICTION DESIGN Adrian Chong Kathrin Menberg Guidelines for the Bayesian calibration of building energy models
description	10.1016/j.enbuild.2018.06.028
author2	DEPT OF BUILDING
author_facet	DEPT OF BUILDING Adrian Chong Kathrin Menberg
format	Article
author	Adrian Chong Kathrin Menberg
author_sort	Adrian Chong
title	Guidelines for the Bayesian calibration of building energy models
title_short	Guidelines for the Bayesian calibration of building energy models
title_full	Guidelines for the Bayesian calibration of building energy models
title_fullStr	Guidelines for the Bayesian calibration of building energy models
title_full_unstemmed	Guidelines for the Bayesian calibration of building energy models
title_sort	guidelines for the bayesian calibration of building energy models
publisher	ELSEVIER SCIENCE SA
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/191893
_version_	1779153446872547328

Guidelines for the Bayesian calibration of building energy models

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