Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

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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.



Explores available methodologies for both conducting in-situ measurements and adequately explore the results

Involves a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering

Offers a synthesis of the current state of knowledge for benefit of professional engineers and scientists

Includes supplementary material: sn.pub/extras



Inhalt

Introduction.- Indoor hygrothermal conditions.- Data mining techniques.- Case Study.- Application of data mining techniques.- Conclusions.

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Produktinformationen

Titel
Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
Autor
EAN
9783319222936
ISBN
978-3-319-22293-6
Format
Kartonierter Einband
Herausgeber
Springer, Berlin
Genre
Technik
Anzahl Seiten
48
Größe
H6mm x B235mm x T155mm
Jahr
2015
Untertitel
Englisch
Auflage
1st ed. 2016
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