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

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

Paperback

Series: Springerbriefs in Applied Sciences and Technology

Technology & EngineeringDatabases

ISBN10: 3319222937
ISBN13: 9783319222936
Publisher: Springer Nature
Published: Sep 3 2015
Pages: 48
Weight: 0.21
Height: 0.12 Width: 6.14 Depth: 9.21
Language: English

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.

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