Details

Autor(en) / Beteiligte

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

Titel

Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions [electronic resource]

Auflage

1st ed. 2016

Ort / Verlag

Cham : Springer International Publishing

Erscheinungsjahr

2016

Link zum Volltext

• SpringerLink Books - AutoHoldings

Beschreibungen/Notizen

• Description based upon print version of record.
• Includes bibliographical references at the end of each chapters.
• Introduction -- Indoor hygrothermal conditions -- Data mining techniques -- Case Study -- Application of data mining techniques -- Conclusions.
• 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.
• English