Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
Language: English
Published by Springer, 2015
- Softcover
- Used

Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Title
- Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
- Author
- Ramos, Nuno M. M.; Delgado, João M. P. Q.; Almeida, Ricardo M.s.f.; Simões, Maria L.; Manuel, Sofia
- Publisher
- Springer
- Publication year
- 2015
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319222937
- ISBN 13
- 9783319222936
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.
"Synopsis" may belong to another edition of this title.
GreatBookPrices
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