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Investigating the impact of borehole field data’s input parameters on the forecasting accuracy of multivariate hybrid deep learning models for heating and cooling

Author(s): ORCID
ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Energy and Buildings, , v. 301
Page(s): 113706
DOI: 10.1016/j.enbuild.2023.113706
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: 10.1016/j.enbuild.2023.113706.
  • About this
    data sheet
  • Reference-ID
    10754531
  • Published on:
    14/01/2024
  • Last updated on:
    14/01/2024
 
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