The thermal comfort models defined in existing standards are usually ineffective in
predicting students' mean thermal sensation. Accordingly, overheating and overcooling are …

A comprehensive index that is straightforward to implement and reliable is essential for
assessing and predicting human thermal comfort, integrating both energy efficiency and …

Abstract ASHRAE Global Thermal Comfort Database has been extensively used for
analyzing specific thermal comfort parameters or models, evaluating subjective metrics, and …

Open space comfort significantly affects urban well-being, particularly in dense areas. This
study uses drone imagery, climate measurements, and questionnaires to explore acoustic …

Despite substantial evidence emphasising the diversity in thermal comfort perception,
conventional models like the Predicted Mean Vote (PMV) index tend to overlook personal …

Energy consumption in buildings continues to rise with increased deployment of energy-
consuming equipment such as Heating, Ventilation, and Air Conditioning (HVAC) amid a …

The accurate prediction of thermal comfort is crucial for optimally designing buildings with
thermal comfort and energy efficiency. Predicted Mean Vote (PMV) is widely recognized by …

Psychological adaptation to thermal environments might play an important role in the human
thermal comfort. However, effects of psychological thermal adaptation on thermal comfort …

Abstract Predicted Mean Vote (PMV) predicts thermal sensation for a group of people from
the human thermal load, and is well recognized by thermal comfort standards for energy …

The accurate identification of the environmental assessment by occupants is an important
factor in the smart home control system. To identify the neural characteristics associated with …