An approach to data mining to estimate thermal comfort indicators from different methods of analysis
The study of thermal comfort phenomenon is commonly disseminated in documents focused on the applied methodology and the results obtained, however, the data analysis used is usually limited to a basic explanation. This study phenomenon is commonly understood and interpreted from univariate type stat...
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | México |
| Institución: | UNIVERSIDAD DE GUADALAJARA |
| Repositorio: | Viviendas y Comunidades Sustentables |
| Idioma: | español |
| OAI Identifier: | oai:www.revistavivienda.cuaad.udg.mx:article/258 |
| Acceso en línea: | https://revistavivienda.cuaad.udg.mx/index.php/rv/article/view/258 |
| Access Level: | acceso abierto |
| Palabra clave: | Adaptive thermal comfort Averages by Thermal Sensation Intervals ANSI/ASHRAE 55 Data mining Simple linear regression Confort térmico adaptativo Medias por intervalos de sensación térmica Minería de datos Regresión lineal simple |
| Sumario: | The study of thermal comfort phenomenon is commonly disseminated in documents focused on the applied methodology and the results obtained, however, the data analysis used is usually limited to a basic explanation. This study phenomenon is commonly understood and interpreted from univariate type statistical methods based on the Simple Linear Regression method or the Averages by Thermal Sensation Interval method; although it is also possible to find studies that use the ANSI/ASHRAE 55 method. The objective of this paper is to show a detailed procedure that allows statistical processing of data from different analysis methods. For this, the most used methods in different studies of thermal comfort are defined, their theoretical foundation is investigated and they are applied to a hypothetical case. The foregoing made it possible to identify that the Averages by Thermal Sensation Intervals method offers results with greater consistency because it allows a causal-phenomenological interpretation regarding the relationship between the perceived thermal sensation and the thermal environment. |
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