Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions di João Delgado, Nuno M. M. Ramos, Ricardo Almeida, Maria L. Simões, Sofia Manuel edito da Springer-Verlag GmbH
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Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

EAN:

9783319222936

ISBN:

3319222937

Pagine:
48
Formato:
Paperback
Lingua:
Tedesco
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Descrizione Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

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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