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Comparison of data-driven statistical techniques for cooling demand modelling of electric chiller plants in commercial districts

Author(s): ORCID (Mechanical Engineering Department, Colorado School of Mines, Golden, USA)
ORCID (Mechanical Engineering Department, Colorado School of Mines, Golden, USA)
Medium: journal article
Language(s): English
Published in: Journal of Building Performance Simulation, , n. 4, v. 15
Page(s): 1-23
DOI: 10.1080/19401493.2021.1960423
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: 10.1080/19401493.2021.1960423.
  • About this
    data sheet
  • Reference-ID
    10627078
  • Published on:
    05/09/2021
  • Last updated on:
    20/06/2022
 
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