Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

AngličtinaMäkká väzba
Ramos, Nuno M.M.
Springer, Berlin
EAN: 9783319222936
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Podrobné informácie

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.

EAN 9783319222936
ISBN 3319222937
Typ produktu Mäkká väzba
Vydavateľ Springer, Berlin
Dátum vydania 3. septembra 2015
Stránky 48
Jazyk English
Rozmery 235 x 155
Krajina Switzerland
Čitatelia Professional & Scholarly
Autori Almeida, Ricardo M.S.F.; Delgado, Joao M.P.Q.; Manuel Sofia; Ramos, Nuno M.M.; Simoes, Maria L.
Ilustrácie X, 48 p. 21 illus., 2 illus. in color.
Edícia 1st ed. 2016
Séria SpringerBriefs in Applied Sciences and Technology