Bayesian calibration of building energy models with large datasets

10.1016/j.enbuild.2017.08.069

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Bibliographic Details
Main Authors:	Chong, Adrian, Lam, Khee Poh, Pozzi, Matteo, Yang, Junjing
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 Building simulation Bayesian calibration Uncertainty analysis Hamiltonian Monte Carlo No-U-Turn Sampler SENSITIVITY-ANALYSIS METHODS SIMULATION-MODELS MONTE-CARLO PREDICTION MATCH
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/191975
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-191975
record_format	dspace
spelling	sg-nus-scholar.10635-1919752023-08-29T22:17:07Z Bayesian calibration of building energy models with large datasets Chong, Adrian Lam, Khee Poh Pozzi, Matteo Yang, Junjing DEPT OF BUILDING Science & Technology Technology Construction & Building Technology Energy & Fuels Engineering, Civil Engineering Building simulation Bayesian calibration Uncertainty analysis Hamiltonian Monte Carlo No-U-Turn Sampler SENSITIVITY-ANALYSIS METHODS SIMULATION-MODELS MONTE-CARLO PREDICTION MATCH 10.1016/j.enbuild.2017.08.069 ENERGY AND BUILDINGS 154 343-355 2021-06-11T07:57:34Z 2021-06-11T07:57:34Z 2017-11-01 2021-06-08T08:00:29Z Article Chong, Adrian, Lam, Khee Poh, Pozzi, Matteo, Yang, Junjing (2017-11-01). Bayesian calibration of building energy models with large datasets. ENERGY AND BUILDINGS 154 : 343-355. ScholarBank@NUS Repository. https://doi.org/10.1016/j.enbuild.2017.08.069 0378-7788,1872-6178 https://scholarbank.nus.edu.sg/handle/10635/191975 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 Building simulation Bayesian calibration Uncertainty analysis Hamiltonian Monte Carlo No-U-Turn Sampler SENSITIVITY-ANALYSIS METHODS SIMULATION-MODELS MONTE-CARLO PREDICTION MATCH
spellingShingle	Science & Technology Technology Construction & Building Technology Energy & Fuels Engineering, Civil Engineering Building simulation Bayesian calibration Uncertainty analysis Hamiltonian Monte Carlo No-U-Turn Sampler SENSITIVITY-ANALYSIS METHODS SIMULATION-MODELS MONTE-CARLO PREDICTION MATCH Chong, Adrian Lam, Khee Poh Pozzi, Matteo Yang, Junjing Bayesian calibration of building energy models with large datasets
description	10.1016/j.enbuild.2017.08.069
author2	DEPT OF BUILDING
author_facet	DEPT OF BUILDING Chong, Adrian Lam, Khee Poh Pozzi, Matteo Yang, Junjing
format	Article
author	Chong, Adrian Lam, Khee Poh Pozzi, Matteo Yang, Junjing
author_sort	Chong, Adrian
title	Bayesian calibration of building energy models with large datasets
title_short	Bayesian calibration of building energy models with large datasets
title_full	Bayesian calibration of building energy models with large datasets
title_fullStr	Bayesian calibration of building energy models with large datasets
title_full_unstemmed	Bayesian calibration of building energy models with large datasets
title_sort	bayesian calibration of building energy models with large datasets
publisher	ELSEVIER SCIENCE SA
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/191975
_version_	1779153450182901760

Bayesian calibration of building energy models with large datasets

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