Artificial intelligence in building life cycle assessment-Reference-Cited by-同舟云学术

Artificial intelligence in building life cycle assessment

Published:2024-05-14 Issue: Volume: Page:1-19
ISSN:0003-8628
Container-title:Architectural Science Review
language:en
Short-container-title:Architectural Science Review

Author:

Gachkar Darya¹^ORCID,Gachkar Sadaf¹^ORCID,García Martínez Antonio²^ORCID,Angulo Cecilio³^ORCID,Aghlmand Soheila⁴^ORCID,Ahmadi Javad⁵^ORCID

Affiliation:

1. Departamento de Construcciones Arquitectónicas I, Escuela Técnica Superior de Arquitectura, Universidad de Sevilla, Sevilla, Spain

2. TEP 130 Research Group, Instituto Universitario de Arquitectura y Ciencias de la Construcción IUACC, Escuela Técnica Superior de Arquitectura, Universidad de Sevilla, Sevilla, Spain

3. Intelligent Data Science and Artificial Intelligence Research Centre, Universitat Politècnica de Catalunya, Barcelona, Spain

4. Department of Architecture and Urbanism, Islamic Azad University Tabriz Branch, Tabriz, Iran

5. High Performance Architecture Lab (HAL), Department of Architecture, Tarbiat Modares University, Tehran, Iran

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00038628.2024.2350491

Reference118 articles.

1. A Parametric Approach to Optimizing Building Construction Systems and Carbon Footprint: A Case Study Inspired by Circularity Principles

2. Buildings’ Energy Consumption Prediction Models Based on Buildings’ Characteristics: Research Trends, Taxonomy, and Performance Measures;Al-Shargabi A. A.;Journal of Building Engineering,2022

3. Algren, M., W. Fisher, and A. E. Landis. 2021. “Machine Learning in Life Cycle Assessment.” In Data Science Applied to Sustainability Analysis, edited by J. Dunn and P. Balaprakash, 167–190. Cambridge, MA: Elsevier.

4. Ali T. H. M. A. Akhund N. A. Memon A. H. Memon H. U. Imad and S. H. Khahro. 2019. “Application of Artifical Intelligence in Construction Waste Management.” In 2019 8th international conference on industrial technology and management (ICITM) IEEE 50–55. Association IBO IBO details for passive houses. Accessed March 17 2023. https://www.ibo.at/en/.

5. Artificial neural networks incorporating cost significant Items towards enhancing estimation for (life-cycle) costing of construction projects