Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions〈1st ed. 2016〉

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Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions〈1st ed. 2016〉

  • 言語:ENG
  • ISBN:9783319222936
  • eISBN:9783319222943

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Description

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.

Table of Contents

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

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