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Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions - SpringerBriefs in Applied Sciences and Technology (Paperback)
  • Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions - SpringerBriefs in Applied Sciences and Technology (Paperback)
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Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions - SpringerBriefs in Applied Sciences and Technology (Paperback)

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£54.99
Paperback 48 Pages / Published: 03/09/2015
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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.

Publisher: Springer International Publishing AG
ISBN: 9783319222936
Number of pages: 48
Weight: 1066 g
Dimensions: 235 x 155 x 3 mm
Edition: 1st ed. 2016

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