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The challenges of using live-streamed data in a predictive digital twin

Author(s): ORCID (The Alan Turing Institute, The British Library, London, UK)
(The Alan Turing Institute, The British Library, London, UK)
(BEIS, London, UK)
(The Alan Turing Institute, The British Library, London, UK)
(The Alan Turing Institute, The British Library, London, UK)
(The Alan Turing Institute, The British Library, London, UK)
(The Alan Turing Institute, The British Library, London, UK)
(The Alan Turing Institute, The British Library, London, UK)
Medium: journal article
Language(s): English
Published in: Journal of Building Performance Simulation, , n. 5, v. 16
Page(s): 1-22
DOI: 10.1080/19401493.2023.2187463
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/19401493.2023.2187463.
  • About this
    data sheet
  • Reference-ID
    10714546
  • Published on:
    21/03/2023
  • Last updated on:
    04/08/2023
 
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