Modeling the mood state on thermal sensation with a data mining algorithm and testing the accuracy of mood state correction factor
Authors:
- Fatma Yerlikaya-ÖzkurtFYFatma Yerlikaya-Özkurt
- Mehmet Furkan ÖzbeyMehmet Furkan Özbey
- Cihan TurhanCTCihan Turhan
- 25 September 2024
- journal article
- research article
- Published by Elsevier in New Ideas in Psychology
- Vol. 76
Abstract
No abstract availableKeywords
Funding Information
- Scientific and Technological Research Council of Turkey (120M890)
This publication has 56 references indexed in Scilit:
- A field investigation on adaptive thermal comfort in school buildings in the temperate climatic region of NepalBuilding and Environment, 2021
- Assessing occupants’ personal attributes in relation to human perception of environmental comfort: Measurement procedure and data analysisBuilding and Environment, 2020
- Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learningBuilding and Environment, 2018
- Investigation variance in human psychological responses to wooden indoor environmentsBuilding and Environment, 2016
- Application of a new 13-value thermal comfort scale to moderate environmentsApplied Energy, 2016
- Field studies of thermal comfort across multiple climate zones for the subcontinent: India Model for Adaptive Comfort (IMAC)Building and Environment, 2016
- A framework for an adaptive thermal heat balance model (ATHB)Building and Environment, 2015
- Accurately predicting building energy performance using evolutionary multivariate adaptive regression splinesApplied Soft Computing, 2014
- A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV)Building and Environment, 2009
- Human adaptation to levels of environmental stimulationHuman Ecology, 1974