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Journal of Building Performance Simulation Volume 12, 2019 - Issue 1
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Influence of error terms in Bayesian calibration of energy system models

Kathrin MenbergDepartment of Engineering, University of Cambridge, Trumpington Street, CambridgeCB2 1PZ, UK;Institute of Applied Geosciences, Karlsruhe Institute of Technology, Kaiserstraße 12, 76131Karlsruhe, GermanyCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-0517-7484View further author information
ORCID Icon,
Yeonsook HeoDepartment of Architecture, University of Cambridge, 1-5 Scroope Terrace, CambridgeCB2 1PX, UK;School of Civil, Environmental, and Architectural Engineering, College of Engineering, Korea University, Anam-dong, Seonguk-gu, Seoul, KoreaView further author information
&
Ruchi ChoudharyDepartment of Engineering, University of Cambridge, Trumpington Street, CambridgeCB2 1PZ, UKView further author information
Pages 82-96 | Received 14 Feb 2018, Accepted 08 May 2018, Published online: 21 May 2018

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Rebecca Ward, Ruchi Choudary, Melanie Jans Singh, Flora Roumpani, Tomas Lazauskas, May Yong, Nicholas Barlow & Markus Hauru. (2023) The challenges of using live-streamed data in a predictive digital twin. Journal of Building Performance Simulation 16:5, pages 609-630.
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Articles from other publishers (11)

Aysegul Demir Dilsiz, Kaitlynn Ng, Jerome Kämpf & Zoltan Nagy. (2022) Ranking parameters in urban energy models for various building forms and climates using sensitivity analysis. Building Simulation.
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Yi Wang, Yinchao Shangguan, Zhichao Wang & Yu Xue. (2022) The influence and adjust method of hyperparameters’ prior distributions in Bayesian calibration for building stock energy prediction. Energy and Buildings 273, pages 112413.
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Jennifer P. Spinti, Philip J. Smith & Sean T. Smith. (2022) Atikokan Digital Twin: Machine learning in a biomass energy system. Applied Energy 310, pages 118436.
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Han‐Fang Hsueh, Anneli Guthke, Thomas Wöhling & Wolfgang Nowak. (2022) Diagnosis of Model Errors With a Sliding Time‐Window Bayesian Analysis. Water Resources Research 58:2.
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Monika J. Kreitmair, Nikolas Makasis, Kathrin Menberg, Asal Bidarmaghz, Gareth J. Farr, David P. Boon & Ruchi Choudhary. (2022) Bayesian parameter inference for shallow subsurface modeling using field data and impacts on geothermal planning. Data-Centric Engineering 3.
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Adrian Chong, Yaonan Gu & Hongyuan Jia. (2021) Calibrating building energy simulation models: A review of the basics to guide future work. Energy and Buildings 253, pages 111533.
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D. Hou, I.G. Hassan & L. Wang. (2021) Review on building energy model calibration by Bayesian inference. Renewable and Sustainable Energy Reviews 143, pages 110930.
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Rebecca Ward, Ruchi Choudhary, Alastair Gregory, Melanie Jans-Singh & Mark Girolami. (2021) Continuous calibration of a digital twin: Comparison of particle filter and Bayesian calibration approaches. Data-Centric Engineering 2.
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Carmen María Calama-González, Phil Symonds, Giorgos Petrou, Rafael Suárez & Ángel Luis León-Rodríguez. (2021) Bayesian calibration of building energy models for uncertainty analysis through test cells monitoring. Applied Energy 282, pages 116118.
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Zanhong Wu, Zhongmiao Kang, Zhan Shi & Xiangye Chen. (2019) Research on Multi-band Antenna Receiving Technology for Power Satellite Communication Terminals. Research on Multi-band Antenna Receiving Technology for Power Satellite Communication Terminals.
Adrian Chong & Kathrin Menberg. (2018) Guidelines for the Bayesian calibration of building energy models. Energy and Buildings 174, pages 527-547.
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