Artificial intelligence for efficient thermal comfort systems: Requirements, current applications and future directions

A Ghahramani, P Galicia, D Lehrer… - Frontiers in built …, 2020 - frontiersin.org
In buildings, one or a combination of systems (eg, central HVAC system, ceiling fan, desk
fan, personal heater, and foot warmer) are often responsible for providing thermal comfort to …

[HTML][HTML] Outdoor thermal comfort research in transient conditions: A narrative literature review

Y Dzyuban, GNY Ching, SK Yik, AJ Tan… - Landscape and Urban …, 2022 - Elsevier
In recent years, urban planners and designers are paying greater attention to Outdoor
Thermal Comfort (OTC) studies due to the imminent threat of the Urban Heat Island and …

Occupant-centered real-time control of indoor temperature using deep learning algorithms

S Jung, J Jeoung, T Hong - Building and Environment, 2022 - Elsevier
This study aims to propose Real-COMFORT-a novel occupant-centered real-time indoor
temperature control system using deep learning algorithms to simultaneously optimize the …

[HTML][HTML] Evaluating assumptions of scales for subjective assessment of thermal environments–Do laypersons perceive them the way, we researchers believe?

M Schweiker, M André, F Al-Atrash, H Al-Khatri… - Energy and …, 2020 - Elsevier
People's subjective response to any thermal environment is commonly investigated by using
rating scales describing the degree of thermal sensation, comfort, and acceptability …

[HTML][HTML] An environmental management plan for construction waste management

WSE Ismaeel, N Kassim - Ain Shams Engineering Journal, 2023 - Elsevier
This study presents a proposed environmental management plan (EMP) for construction
waste management (CWM). This life cycle thinking (LCT)-based EMP for CWM is set to …

Dimension analysis of subjective thermal comfort metrics based on ASHRAE Global Thermal Comfort Database using machine learning

Z Wang, J Wang, Y He, Y Liu, B Lin, T Hong - Journal of Building …, 2020 - Elsevier
We analyzed the ASHRAE Global Thermal Comfort Database II to answer a fundamental but
overlooked question in thermal comfort studies: how many and which subjective metrics …

Adaptive behavior and different thermal experiences of real people: A Bayesian neural network approach to thermal preference prediction and classification

N Ma, L Chen, J Hu, P Perdikaris, WW Braham - Building and Environment, 2021 - Elsevier
Various observed and unquantifiable factors affect the thermal comfort of occupants in
indoor environments and can lead to high uncertainty in the prediction and classification of …

Understanding differences in thermal comfort between urban and rural residents in hot summer and cold winter climate

Y Xiong, J Liu, J Kim - Building and environment, 2019 - Elsevier
Rapid urbanization in China resulted in different architectural characteristics between the
rural (traditional, more open to external environment) and urban (modern, relatively closed …

The use of Monte Carlo method to assess the uncertainty of thermal comfort indices PMV and PPD: Benefits of using a measuring set with an operative temperature …

EE Broday, CR Ruivo, MG da Silva - Journal of Building Engineering, 2021 - Elsevier
Abstract The Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD)
are the most used indices for the assessment of thermal conditions in indoor environments …

[HTML][HTML] Learning building occupants' indoor environmental quality complaints and dissatisfaction from text-mining Booking. com reviews in the United States

N Ma, Q Zhang, F Murai, WW Braham… - Building and …, 2023 - Elsevier
Traditional post occupancy evaluation (POE) poses a challenge to the comprehensive
knowledge of occupant dissatisfaction with indoor environmental quality (IEQ) due to the …