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

Advertisement

Green Building Energy Efficiency Evaluation and Optimization

Author(s):

Medium: journal article
Language(s): English
Published in: Journal of Physics: Conference Series, , n. 1, v. 2185
Page(s): 012052
DOI: 10.1088/1742-6596/2185/1/012052
Abstract:

This paper analyzes the influencing factors of energy saving benefits of green buildings, and summarizes six types of influencing factors of energy saving benefits, including lighting performance and ventilation performance. Through Bayesian network machine learning, the Bayesian network evaluation model of green building energy efficiency is constructed, and the comprehensive evaluation index system of green building energy efficiency is established. Combined with practical case analysis, the core influencing factors with high degree of influence are obtained by Bayesian network reasoning.

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: 10.1088/1742-6596/2185/1/012052.
  • About this
    data sheet
  • Reference-ID
    10670903
  • Published on:
    03/06/2022
  • Last updated on:
    03/06/2022
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine