Application of machine learning in thermal comfort studies: A review of methods, performance and challenges
This paper provides a systematic review on the application of Machine Learning (ML) in
thermal comfort studies to highlight the latest methods and findings and provide an agenda …
thermal comfort studies to highlight the latest methods and findings and provide an agenda …
Applications of machine learning to BIM: A systematic literature review
Abstract As Building Information Modeling (BIM) workflows are becoming very relevant for
the different stages of the project's lifecycle, more data is produced and managed across it …
the different stages of the project's lifecycle, more data is produced and managed across it …
[HTML][HTML] Machine learning-based predictive model for thermal comfort and energy optimization in smart buildings
In the current context of energy transition and increasing climate change, optimizing building
performance has become a critical objective. Efficient energy use and occupant comfort are …
performance has become a critical objective. Efficient energy use and occupant comfort are …
[HTML][HTML] BIM and IoT data fusion: The data process model perspective
Digitalization in the architecture, engineering, and construction (AEC) industry has
highlighted the process of gathering and combining data from numerous sources. This …
highlighted the process of gathering and combining data from numerous sources. This …
Knowledge graph of building information modelling (BIM) for facilities management (FM)
Abstract Building Information Modelling (BIM) has emerged as a transformative technology
in the field of Facilities Management (FM), which has in turn transformed methodologies and …
in the field of Facilities Management (FM), which has in turn transformed methodologies and …
Applications of artificial intelligence in the field of air pollution: A bibliometric analysis
Background Artificial intelligence (AI) has become widely used in a variety of fields,
including disease prediction, environmental monitoring, and pollutant prediction. In recent …
including disease prediction, environmental monitoring, and pollutant prediction. In recent …
[HTML][HTML] Building energy consumption optimization method based on convolutional neural network and BIM
F Xu, Q Liu - Alexandria Engineering Journal, 2023 - Elsevier
The increasing tension of energy supply and demand makes the optimization of building
energy consumption more and more concerned by researchers. Based on the theory of …
energy consumption more and more concerned by researchers. Based on the theory of …
[HTML][HTML] A review of thermal comfort in primary schools and future challenges in machine learning based prediction for children
Children differ from adults in their physiology and cognitive ability. Thus, they are extremely
vulnerable to classroom thermal comfort. However, very few reviews on the thermal comfort …
vulnerable to classroom thermal comfort. However, very few reviews on the thermal comfort …
Digital ID framework for human-centric monitoring and control of smart buildings
Smart offices can help employers attract and retain talented people and can positively
impact well-being and productivity. Thanks to emerging technologies and increased …
impact well-being and productivity. Thanks to emerging technologies and increased …
Digital twin for healthy indoor environment: A vision for the post-pandemic era
Indoor environment has significant impacts on human health as people spend 90% of their
time indoors. The COVID-19 pandemic and the increased public health awareness have …
time indoors. The COVID-19 pandemic and the increased public health awareness have …