Nuno M. M. Ramos, João M. P. Q. Delgado, Ricardo M. S. F. Almeida, Maria L. Simões, Sofia Manuel

Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions (eBook, PDF)

• Format: PDF

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

• Verlag: Springer International Publishing
• Seitenzahl: 48
• Erscheinungstermin: 24. August 2015
• Englisch
• ISBN-13: 9783319222943
• Artikelnr.: 43796567

Inhaltsangabe

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