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Time-series machine learning for predictive optimisation of a highly efficient evaporative cooling system

Author(s): ORCID (School of Engineering, University of Hull, Hull, UK)
ORCID (Energy and Environment Institute, University of Hull, Hull, UK)
(Department of Civil Engineering, Surveying and Construction Management, Kingston University London, London, UK)
(School of Engineering, University of Hull, Hull, UK)
(School of Engineering, University of Hull, Hull, UK)
(School of Engineering, University of Hull, Hull, UK)
Medium: journal article
Language(s): English
Published in: Building Services Engineering Research and Technology
DOI: 10.1177/01436244251315047
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: 10.1177/01436244251315047.
  • About this
    data sheet
  • Reference-ID
    10816584
  • Published on:
    03/02/2025
  • Last updated on:
    03/02/2025
 
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