AI-Assisted Building Design and Environment Control
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 1107
Special Issue Editors
Interests: green building design; building performance optimization; building physical environment; artificial intelligence application in building design
Special Issues, Collections and Topics in MDPI journals
Interests: climate change weather data and scenarios for simulation; effects of climate change on energy performance of buildings; urban heat island effects on building energy consumption and urban planning; energy efficiency in buildings and service plants; sustainable energy technologies in buildings; sustainability in building design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has been widely used to solve various building problems, especially in the field of building design and environmental control, where it can improve the design level, optimize building performance, and control the comfort of indoor environments. The generation of design schemes using artificial intelligence models and platforms, the identification of building design elements, the machine learning-based prediction of building performance, and algorithm-driven multi-objective collaborative optimization have brought about innovative changes to traditional design work. Among the AI functions increasingly attracting the interest of the research community is its potential to help create healthier and more comfortable indoor environments by monitoring and analyzing temperature, humidity, air quality, lighting, and occupant behavior data and then regulating heating, cooling, ventilation, and lighting systems to control and improve indoor environmental quality.
In this Special Issue, we invite submissions exploring cutting-edge research and recent advances in the field of AI-assisted building design and environmental control. Both theoretical and experimental studies are welcome, as well as comprehensive review and survey papers.
Dr. Teng Shao
Dr. David Hou Chi Chow
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence technology
- smart building design
- building performance optimization
- indoor environment control and optimization
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