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Application of Data Mining Techniques in the Analysis of...

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

Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel (auth.)
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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.

Catégories:
Année:
2016
Edition:
1
Editeur::
Springer International Publishing
Langue:
english
Pages:
56
ISBN 10:
3319222937
ISBN 13:
9783319222936
Collection:
SpringerBriefs in Applied Sciences and Technology
Fichier:
PDF, 1.62 MB
IPFS:
CID , CID Blake2b
english, 2016
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