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A Prediction Accuracy Weighted Voting Ensemble Method for Thermal Sensation Evaluation

2021
PMV (Predicted Mean Vote) model is currently the most extensively used method for thermal sensation (TS) evaluation. However, the model is criticized for not being able to account for human thermal preferences and expectations. In response to these limitations, the adaptive model was developed to factor in behavioural, psychological and physiological ...
Yu Li   +4 more
openaire   +1 more source

PersonalisedComfort: a personalised thermal comfort model to predict thermal sensation votes for smart building residents

Enterprise Information Systems, 2020
Internet of Things (IoT) empowered Heating, Ventilation, and Air Conditioning (HVAC) buildings are considered to monitor and control the regulation of thermostats, sensors, actuators, and control d...
Saif Ur Rehman   +5 more
openaire   +1 more source

Usability of Thermal Sensation Voting Device

2016
Indoor climate has a key role on the performance of office workers. To assess the thermal comfort of a room, some models have been proposed. However, even with those models, manage and control all variables related to thermal comfort is a complex task. To simplify this process, a simple device that allows workers to vote if the indoor climate is “hot”,
Eduardo Hideki Tanaka   +2 more
openaire   +1 more source

Potential of artificial neural networks to predict thermal sensation votes

Applied Energy, 2016
Abstract If occupants of buildings are offered possibilities to interact with the building’s equipment elements – such as with windows – in order to optimize their individual environment, these interactions will influence the energy consumption of the building. Therefore, during the design of the building, e.g.
openaire   +1 more source

Alternative Method to Predict Thermal Sensation Votes in Closed Environments

2019
The PMV (Predicted Mean Vote) is an index that intends to predict the thermal sensation of people exposed to the same environment. However, there are discrepancies between the PMV model and the thermal sensation responses collected in field studies. In order to verify this question, this study had as purpose to present an alternative method to predict ...
Evandro Eduardo Broday   +1 more
openaire   +1 more source

EVALUATION OF THERMAL SATISFACTION SCALES THROUGH THE ANALYSIS OF SENSATION AND PREFERENCE VOTES

2024 ASHRAE Winter Conference
In this work, the analysis of thermal satisfaction votes expressed by students during regular classes was conducted to point out (i) the capability of predicting satisfaction votes starting from sensation and preference votes and (ii) the correspondence between two evaluation scales which are commonly used in the assessment of satisfaction.
Morandi, Federica   +4 more
openaire   +2 more sources

Predicting students’ thermal sensation votes in university libraries taking into account their mood states

Indoor and Built Environment
This study examined the effect of mood states on students’ thermal sensations within a university library comprising quiet-study and group-study rooms. Through concurrent subjective and objective assessments over five consecutive workdays, this study investigated the influence of psychological factors, particularly mood states, in influencing thermal ...
Dadi Zhang   +4 more
openaire   +2 more sources

A comparison of the predicted and reported thermal sensation vote in homes during winter and summer

Energy and Buildings, 1994
The results from a BRE survey, conducted in new homes during winter and summer, are presented. The occupants' reported thermal sensation (TS) was obtained using the ASHRAE scale and sufficient physical measurements were made to allow their predicted mean thermal sensation vote (PMV) to be computed.
openaire   +1 more source

Calibrating thermal sensation vote scales for different short-term thermal histories using ensemble learning

Building and Environment, 2023
Liang Yuan   +5 more
openaire   +1 more source

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