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

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53,49 

SpringerBriefs in Applied Sciences and Technology

ISBN: 3319222937
ISBN 13: 9783319222936
Verlag: Springer Verlag GmbH
Umfang: x, 48 S., 19 s/w Illustr., 2 farbige Illustr., 48 p. 21 illus., 2 illus. in color.
Erscheinungsdatum: 03.09.2015
Weitere Autoren: Ramos, Nuno M M/Delgado, João M P Q/Almeida, Ricardo M S F et al
Auflage: 1/2015
Produktform: Kartoniert
Einband: Kartoniert

Explores available methodologies for both conducting in-situ measurements and adequately explore the resultsInvolves a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineeringOffers a synthesis of the current state of knowledge for benefit of professional engineers and scientistsIncludes supplementary material: sn.pub/extras

Artikelnummer: 8307647 Kategorie:

Beschreibung

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.

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