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

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

eBook - Engineering (R0)

Ramos, Nuno M M/Delgado, João M P Q/Almeida, Ricardo M S F et al

SPRINGER

62.95

(inklusive MwSt.)

Verfügbarkeit: Lieferbar

Zusatztext

<p>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.</p><p>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.</p><p>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.</p><p></p>

Weitere Details

Erschienen: 24.08.2015

Umfang: 1.64 MB

Sprache: ENG

ISBN/EAN: 9783319222943

Umbreit-Nr.: 9278933

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