Proceedings of the 2025 6th International Conference on Urban Construction and Management Engineering (ICUCME 2025)

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Enhancing Architectural Design, Energy Efficiency Management and Predictive Maintenance Through Artificial Intelligence: Current Advances and Future Prospect

Authors
Qifan Lin1, Man Zhou2, *
1School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, 430070, China
2School of Civil Engineering, Wuhan University, Wuhan, 430070, China
*Corresponding author. Email: civilzm1988@163.com
Corresponding Author
Man Zhou
Available Online 23 September 2025.
DOI
10.2991/978-94-6463-847-9_14How to use a DOI?
Keywords
Artificial Intelligence; Architectural Design; Energy Efficiency Management; Predictive Maintenance
Abstract

The rapid pace of urbanization and environmental challenges necessitates a paradigm shift in the construction industry. This fact drives the adoption of Artificial Intelligence (AI). Many researchers have conducted numerous studies. Still, there is a lack of a systematic review that includes optimizing architectural design, energy efficiency and predictive maintenance. This study begins by stating the shortcomings of the traditional approaches in these three aspects. Next, by summarizing relevant algorithms and case studies, the applications of AI are clearly outlined. Finally, combined with the development direction and relevant norms, the challenges and opportunities are presented. This provides a reference for modern engineers, establishing AI as a major driver in sustainable and smart urban growth.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 6th International Conference on Urban Construction and Management Engineering (ICUCME 2025)
Series
Advances in Engineering Research
Publication Date
23 September 2025
ISBN
978-94-6463-847-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-847-9_14How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Qifan Lin
AU  - Man Zhou
PY  - 2025
DA  - 2025/09/23
TI  - Enhancing Architectural Design, Energy Efficiency Management and Predictive Maintenance Through Artificial Intelligence: Current Advances and Future Prospect
BT  - Proceedings of the 2025 6th International Conference on Urban Construction and Management Engineering (ICUCME 2025)
PB  - Atlantis Press
SP  - 126
EP  - 135
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-847-9_14
DO  - 10.2991/978-94-6463-847-9_14
ID  - Lin2025
ER  -