Cover image for Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
Title:
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
Author:
Ramos, Nuno M.M. author.
ISBN:
9783319222943
Personal Author:
Edition:
1st ed. 2016.
Physical Description:
X, 48 p. 21 illus., 2 illus. in color. online resource.
Series:
SpringerBriefs in Applied Sciences and Technology,
Contents:
Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.
Abstract:
The main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the benefits and difficulties of concurrent methodologies. The case study corresponds to a set of 25 social housing dwellings where an extensive in situ measurement campaign was conducted. The dwellings are located in the same quarter of a city. Measurements included indoor temperature and relative humidity, with continuous log in different rooms of each dwelling, blower-door tests and complete outdoor conditions provided by a nearby weather station. The book includes a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering. It presents a synthesis of the current state of knowledge for benefit of professional engineers and scientists.
Added Corporate Author:
Holds: Copies: