0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Room energy demand and thermal comfort predictions in early stages of design based on the Machine Learning methods

Author(s): ORCID (Department of Construction, Shahid Beheshti University(SBU), Tehran, Iran)
ORCID (Department of Construction, Shahid Beheshti University(SBU), Tehran, Iran)
(Department of Architecture, Texas A&M, College Station, TX, USA)
(Department of Construction, Shahid Beheshti University(SBU), Tehran, Iran)
Medium: journal article
Language(s): English
Published in: Intelligent Buildings International, , n. 1, v. 15
Page(s): 1-18
DOI: 10.1080/17508975.2022.2049190
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: 10.1080/17508975.2022.2049190.
  • About this
    data sheet
  • Reference-ID
    10665140
  • Published on:
    09/05/2022
  • Last updated on:
    20/04/2023
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine