A Study of Thermal Comfort in Buildings
Using Data Mining: A Case Study in
Krung Thep Aphiwat Central Terminal Station

Abstract

  Thermal Comfort is the range of temperature and humidity of the air that makes people feel comfortable. The values of temperature and humidity that are comfortable vary according to the topography, environment, and familiarity with the weather. And the state of comfort can vary greatly between individuals. And it depends on various factors such as the activities you do, clothes, body weight, etc.
  The study of thermal comfort within train stations can be applied to the design of train stations by architects or designers. To be used as a guideline and as an aid in making comparative decisions in the design and development of electric train stations to suit the comfortable conditions of electric train station users. Therefore, the research team has studied the factors that affect the comfortable state of individuals. and create a model to predict comfort conditions from environmental factors and personal factors of train station users by using data mining techniques.