Green Building Energy Efficiency Evaluation and Optimization
Auteur(s): |
Weilai Wang
Zhi Hu |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Journal of Physics: Conference Series, 1 janvier 2022, n. 1, v. 2185 |
Page(s): | 012052 |
DOI: | 10.1088/1742-6596/2185/1/012052 |
Abstrait: |
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. |
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sur cette fiche - Reference-ID
10670903 - Publié(e) le:
03.06.2022 - Modifié(e) le:
03.06.2022