Basic methods used for data analysis in adaptive thermal comfort studies
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional Autónoma de México
2023
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| author | Julio César Rincón-Martínez |
| author_facet | Julio César Rincón-Martínez |
| contents | Basic methods used for data analysis in adaptive thermal comfort studies Julio César Rincón-Martínez Ingeniería data analysis ASHRAE Standard linear regression statistical methods Adaptive thermal comfort Existing research literature on adaptive thermal comfort studies shows the methodology used and results obtained; however, the information for data analysis is reduced. Methods commonly used to interpret and understand the thermal comfort phenomenon are univariate type and, usually, use the linear regression to predict the behavior of one variable from the variation of other; among others, Simple Linear Regression method and Averages by Thermal Sensation Interval method can be identified, although it is also possible to find studies based on the ANSI/ASHRAE 55 method or on machine-learning algorithms. This document describes a procedure that allows three-stages data to be statistically processed: Database capture, Database preparation, and Data Correlation. In each case, the steps to be followed are specified and different statistical alternatives are indicated to achieve certainty in the results. From different studies specialized in thermal comfort, it is possible to identify that the Averages by Thermal Sensation Interval method offers results with greater consistency and causality regarding the perceived thermal sensation and its phenomenological correspondence with the monitoring of the environmental conditions. As a complementary resource, a personalized spreadsheet whit the three methods described in this paper is including. 2023 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40475449002 https://www.redalyc.org/journal/404/40475449002/ https://www.redalyc.org/journal/404/40475449002/html/ https://www.redalyc.org/journal/404/40475449002/40475449002.epub https://www.redalyc.org/journal/404/40475449002/movil 10.22201/fi.25940732e.2023.24.1.002 en http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.1 Vol.XXIV |
| format | Artículo científico |
| id | redalyc_40475449002 |
| institution | Redalyc |
| language | en |
| publishDate | 2023 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Basic methods used for data analysis in adaptive thermal comfort studies Julio César Rincón-Martínez Ingeniería data analysis ASHRAE Standard linear regression statistical methods Adaptive thermal comfort Basic methods used for data analysis in adaptive thermal comfort studies Julio César Rincón-Martínez Ingeniería data analysis ASHRAE Standard linear regression statistical methods Adaptive thermal comfort Existing research literature on adaptive thermal comfort studies shows the methodology used and results obtained; however, the information for data analysis is reduced. Methods commonly used to interpret and understand the thermal comfort phenomenon are univariate type and, usually, use the linear regression to predict the behavior of one variable from the variation of other; among others, Simple Linear Regression method and Averages by Thermal Sensation Interval method can be identified, although it is also possible to find studies based on the ANSI/ASHRAE 55 method or on machine-learning algorithms. This document describes a procedure that allows three-stages data to be statistically processed: Database capture, Database preparation, and Data Correlation. In each case, the steps to be followed are specified and different statistical alternatives are indicated to achieve certainty in the results. From different studies specialized in thermal comfort, it is possible to identify that the Averages by Thermal Sensation Interval method offers results with greater consistency and causality regarding the perceived thermal sensation and its phenomenological correspondence with the monitoring of the environmental conditions. As a complementary resource, a personalized spreadsheet whit the three methods described in this paper is including. 2023 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40475449002 https://www.redalyc.org/journal/404/40475449002/ https://www.redalyc.org/journal/404/40475449002/html/ https://www.redalyc.org/journal/404/40475449002/40475449002.epub https://www.redalyc.org/journal/404/40475449002/movil 10.22201/fi.25940732e.2023.24.1.002 en http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.1 Vol.XXIV |
| title | Basic methods used for data analysis in adaptive thermal comfort studies |
| topic | Ingeniería data analysis ASHRAE Standard linear regression statistical methods Adaptive thermal comfort |
| url | https://www.redalyc.org/articulo.oa?id=40475449002 https://www.redalyc.org/journal/404/40475449002/ https://www.redalyc.org/journal/404/40475449002/html/ https://www.redalyc.org/journal/404/40475449002/40475449002.epub https://www.redalyc.org/journal/404/40475449002/movil |