Using machine learning algorithms to predict occupants’ thermal comfort in naturally ventilated residential buildings

Author:

Chai Qian,Wang Huiqin,Zhai Yongchao,Yang Liu

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Xi'an University of Architecture & Technology

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference41 articles.

1. Thermal Environmental Conditions For Human Occupancy,2013

2. A stochastic approach to thermal comfort—occupant behaviour and energy use in buildings;Nicol;ASHARE Transact.,2004

3. Advanced air distribution: improving health and comfort while reducing energy use;Melikov;Indoor Air,2016

4. Thermal comfort: Analysis and Applications in Environmental Engineering;Fanger,1970

5. A study of adaptive thermal comfort in a well-controlled climate chamber;Yang;Appl. Therm. Eng.,2015

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