Framework for emulation and uncertainty quantification of a stochastic building performance simulator

Wate, P., Iglesias, M., Coors, V. et al. (1 more author) (2020) Framework for emulation and uncertainty quantification of a stochastic building performance simulator. Applied Energy, 258. 113759. ISSN 0306-2619

Abstract

Metadata

Authors/Creators:
  • Wate, P.
  • Iglesias, M.
  • Coors, V.
  • Robinson, D.
Copyright, Publisher and Additional Information: © 2019 Elsevier Ltd. This is an author produced version of a paper subsequently published in Applied Energy. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Gaussian process emulator; Building performance; Stochasticity; Uncertainty quantification and decomposition
Dates:
  • Accepted: 22 August 2019
  • Published (online): 23 November 2019
  • Published: January 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 09 Jan 2020 13:51
Last Modified: 24 Nov 2020 17:12
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.apenergy.2019.113759

Share / Export

Statistics