Considering critical building materials for embodied carbon emissions in buildings: A machine learning-based prediction model and tool

Author:

Su Shu,Zang Zhaoyin,Yuan Jingfeng,Pan Xinyu,Shan Ming

Publisher

Elsevier BV

Reference113 articles.

1. Dynamic feature selection for accurately predicting construction productivity using symbiotic organisms search-optimized least square support vector machine;Cheng;J. Build. Eng.,2021

2. U. N. E. Programme, Global status report for buildings and construction, Global Alliance for Building and Construction, 2021.

3. Factors influencing embodied carbon emissions of China's building sector: an analysis based on extended STIRPAT modeling;Zhu;Energy Build.,2022

4. Life cycle assessment for carbon emission impact analysis for the renovation of old residential areas;Luo;J. Clean. Prod.,2022

5. BIM-integrated LCA to automate embodied carbon assessment of prefabricated buildings;Xu;J. Clean. Prod.,2022

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