An adaptive predicted percentage dissatisfied model based on the air-conditioner turning-on behaviors in the residential buildings of China
Authors:
- Shurui YanSYShurui Yan
- Nianxiong LiuNLNianxiong Liu
- Weitao WangWWWeitao Wang
- Shuyan HanSHShuyan Han
- Jingyu ZhangJZJingyu Zhang
- 1 March 2021
- journal article
- research article
- Published by Elsevier in Building and Environment
- Vol. 191
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China
- National Key Research and Development Program of China
This publication has 24 references indexed in Scilit:
- UTCI—Why another thermal index?International Journal of Biometeorology, 2011
- A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV)Building and Environment, 2009
- Forty years of Fanger’s model of thermal comfort: comfort for all?Indoor Air, 2008
- Multiple Imputation of Item Scores in Test and Questionnaire Data, and Influence on Psychometric ResultsMultivariate Behavioral Research, 2007
- Comparison of linear and nonlinear analysis in estimating the Thomas model parameters for methylene blue adsorption onto natural zeolite in fixed-bed columnJournal of Hazardous Materials, 2007
- Field Studies of Indoor Thermal Comfort and the Progress of the Adaptive ApproachAdvances in Building Energy Research, 2007
- Mode of questionnaire administration can have serious effects on data qualityJournal of Public Health, 2005
- The validity of ISO-PMV for predicting comfort votes in every-day thermal environmentsEnergy and Buildings, 2002
- Adaptive thermal comfort and sustainable thermal standards for buildingsEnergy and Buildings, 2002
- Use of Dummy Variables in Regression EquationsJournal of the American Statistical Association, 1957