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Application Of Data Mining Techniques In The Analysis Of Indoor Hygrothermal Conditions eBook

de Joao M.P.Q. Delgado, Nuno M.M. Ramos, Ricardo M.S.F. Almeida, Sofia Manuel e Maria L. Simoes
idioma: inglês
Editor: Springer International Publishing, agosto de 2015 ‧
59,61€
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DISPONIBILIDADE IMEDIATA
Ebook para ADE

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.

Application Of Data Mining Techniques In The Analysis Of Indoor Hygrothermal Conditions

de Joao M.P.Q. Delgado, Nuno M.M. Ramos, Ricardo M.S.F. Almeida, Sofia Manuel e Maria L. Simoes

Propriedade Descrição
ISBN: 9783319222943
Editor: Springer International Publishing
Data de Lançamento: agosto de 2015
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade: PDF para ADE
Coleção: Springerbriefs In Applied Sciences And Technology
Classificação Temática: eBooks em Inglês > Ciências Exatas e Naturais > Matemática
eBooks em Inglês > Engenharia > Engenharia Hidráulica
EAN: 9783319222943

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