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Integrating few-shot personalized thermal comfort model and reinforcement learning for HVAC demand response optimization

Author(s): ORCID




Medium: journal article
Language(s): English
Published in: Journal of Building Engineering, , v. 91
Page(s): 109509
DOI: 10.1016/j.jobe.2024.109509
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.jobe.2024.109509.
  • About this
    data sheet
  • Reference-ID
    10785393
  • Published on:
    20/06/2024
  • Last updated on:
    20/06/2024
 
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