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



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Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2015-08-24



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Description

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.
Pages
48 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2015-08-24
Marque
Springer
EAN papier
9783319222936
EAN PDF
9783319222943

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
4
Taille du fichier
1669 Ko
Prix
52,74 €
EAN EPUB
9783319222943

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
4
Taille du fichier
819 Ko
Prix
52,74 €