João M. P. Q. Delgado, Nuno M. M. Ramos, Ricardo Almeida

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

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• SpringerBriefs in Applied Sciences and Technology
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-22293-6
• 1st ed. 2016
• Seitenzahl: 60
• Erscheinungstermin: 3. September 2015
• Englisch
• Abmessung: 235mm x 155mm x 4mm
• ISBN-13: 9783319222936
• ISBN-10: 3319222937
• Artikelnr.: 43121325

Inhaltsangabe

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