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Energy-efficient control of indoor PM2.5 and thermal comfort in a real room using deep reinforcement learning

Author(s): ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Energy and Buildings, , v. 295
Page(s): 113340
DOI: 10.1016/j.enbuild.2023.113340
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.2023.113340.
  • About this
    data sheet
  • Reference-ID
    10737877
  • Published on:
    02/09/2023
  • Last updated on:
    02/09/2023
 
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