Nuno M M Ramos

(Author)

Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions (2016)Paperback - 2016, 3 September 2015

Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions (2016)
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Part of Series
Springerbriefs in Applied Sciences and Technology
Print Length
48 pages
Language
English
Publisher
Springer
Date Published
3 Sep 2015
ISBN-10
3319222937
ISBN-13
9783319222936

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.

Product Details

Authors:
Nuno M M RamosJoão M P Q DelgadoRicardo M S F AlmeidaMaria L SimõesSofia Manuel
Book Edition:
2016
Book Format:
Paperback
Country of Origin:
NL
Date Published:
3 September 2015
Dimensions:
23.39 x 15.6 x 0.3 cm
ISBN-10:
3319222937
ISBN-13:
9783319222936
Language:
English
Location:
Cham
Pages:
48
Publisher:
Weight:
95.25 gm

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