[HTML][HTML] A review of spatially-explicit GeoAI applications in Urban Geography

P Liu, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Urban Geography studies forms, social fabrics, and economic structures of cities from a
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …

[HTML][HTML] BIM and IoT data fusion: The data process model perspective

X Huang, Y Liu, L Huang, E Onstein… - Automation in …, 2023 - Elsevier
Digitalization in the architecture, engineering, and construction (AEC) industry has
highlighted the process of gathering and combining data from numerous sources. This …

[HTML][HTML] Digital twin technology for thermal comfort and energy efficiency in buildings: A state-of-the-art and future directions

VA Arowoiya, RC Moehler, Y Fang - Energy and Built Environment, 2024 - Elsevier
In recent years, the integration of digital technologies has grown rapidly in the field of
thermal comfort and energy efficiency for buildings. The concept of a digital twin …

[HTML][HTML] A hybrid active learning framework for personal thermal comfort models

ZD Tekler, Y Lei, Y Peng, C Miller, A Chong - Building and Environment, 2023 - Elsevier
Personal thermal comfort models are used to predict individual-level thermal comfort
responses to inform design and control decisions of buildings to achieve optimal …

Towards human-centric digital twins: leveraging computer vision and graph models to predict outdoor comfort

P Liu, T Zhao, J Luo, B Lei, M Frei, C Miller… - Sustainable Cities and …, 2023 - Elsevier
Conventional sidewalk studies focused on quantitative analysis of sidewalk walkability at a
large scale which cannot capture the dynamic interactions between the environment and …

[HTML][HTML] Building digital twinning: Data, information, and models

S Yoon - Journal of Building Engineering, 2023 - Elsevier
This study proposes a novel framework and methodology for building digital twinning (BDT)
over the life cycle of a building. It aims to establish an intrinsic digital twin framework and …

Personal comfort models based on a 6‐month experiment using environmental parameters and data from wearables

F Tartarini, S Schiavon, M Quintana, C Miller - Indoor air, 2022 - Wiley Online Library
Personal thermal comfort models are a paradigm shift in predicting how building occupants
perceive their thermal environment. Previous work has critical limitations related to the …

Graph neural network-based spatio-temporal indoor environment prediction and optimal control for central air-conditioning systems

J Zhang, F Xiao, A Li, T Ma, K Xu, H Zhang, R Yan… - Building and …, 2023 - Elsevier
Abstract Model-based optimal control has proven its effectiveness in optimizing the
performance of central air-conditioning systems in terms of thermal comfort and energy …

[HTML][HTML] Exploring the benefits and limitations of digital twin technology in building energy

F Tahmasebinia, L Lin, S Wu, Y Kang, S Sepasgozar - Applied Sciences, 2023 - mdpi.com
Buildings consume a significant amount of energy throughout their lifecycle; Thus,
sustainable energy management is crucial for all buildings, and controlling energy …

The effects of a mismatch between thermal comfort modeling and HVAC controls from an occupancy perspective

E Ono, K Mihara, KP Lam, A Chong - Building and Environment, 2022 - Elsevier
Incorporating data-driven thermal comfort models into occupant-centric HVAC controls is
crucial to meet occupants' preferences in thermal comfort. Although HVAC controls and …