Journal ArticleDOI
Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology
TLDR
In this paper, the authors investigated the possibility to predict human thermal state (Comfort/Discomfort) from the information of physiological parameters, which can facilitate informed control decision of ambient thermal-conditioning in a building environment.About:
This article is published in Energy and Buildings.The article was published on 2018-05-01. It has received 127 citations till now. The article focuses on the topics: Thermal comfort.read more
Citations
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Journal ArticleDOI
Individual difference in thermal comfort: A literature review
Zhe Wang,Richard de Dear,Maohui Luo,Borong Lin,Yingdong He,Yingdong He,Ali Ghahramani,Yingxin Zhu +7 more
TL;DR: In this article, the authors examined the magnitude and significance of individual differences in the preferred/neutral/comfort temperature through reviewing previous climate chamber and field studies, including sex, age and etc.
Journal ArticleDOI
State-of-the-art on research and applications of machine learning in the building life cycle
TL;DR: This study systematically surveyed how machine learning has been applied at different stages of building life cycle and can inform future machine learning research to improve occupant comfort, energy efficiency, demand flexibility, and resilience of buildings.
Journal ArticleDOI
A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings
TL;DR: An indoor-climate control framework that bridges the gap between energy and comfort and exhibits the potential to achieve both occupant-comfort and energy-saving through integration with the Internet-of-Things for realizing comfort-energy balanced buildings.
Journal ArticleDOI
Non-intrusive interpretation of human thermal comfort through analysis of facial infrared thermography
TL;DR: In this article, a non-intrusive infrared thermography framework is proposed to estimate an occupant's thermal comfort level by measuring skin temperature collected from different facial regions using low-cost thermal cameras.
Journal ArticleDOI
The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls
TL;DR: This work presents a review of the current AI-based methodologies being used to enhance thermal comfort in indoor spaces using diverse machine learning (ML) algorithms and their deployment in building control systems for energy saving purposes.
References
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Journal ArticleDOI
Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Book
Thermal comfort: analysis and applications in environmental engineering,
TL;DR: In this paper, an account of research undertaken by the author and his colleagues at the Technical University of Denmark and at the Institute for Environmental Research, Kansas State University is described. But the data in the literature on thermal comfort are extensive, they are disjointed Other CABI sites
Journal ArticleDOI
The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants.
Neil E. Klepeis,Neil E. Klepeis,William C. Nelson,Wayne R. Ott,John Robinson,Andy M Tsang,Paul Switzer,Joseph V. Behar,Stephen C. Hern,William H. Engelmann +9 more
TL;DR: The number of people exposed to environmental tobacco smoke in California seems to have decreased over the same time period, where exposure is determined by the reported time spent with a smoker.
Journal ArticleDOI
Skin blood flow in adult human thermoregulation: how it works, when it does not, and why.
TL;DR: Raynaud phenomenon and erythromelalgia represent cutaneous microvascular disorders whose pathophysiology appears to relate to disorders of local and/or reflex thermoregulatory control of the skin circulation.