Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions / by Nuno M.M. Ramos, João M.P.Q. Delgado, Ricardo M.S.F. Almeida, Maria L. Simões, Sofia Manuel

Von:

Ramos, Nuno M.M [aut]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerBriefs in Applied Sciences and Technology | SpringerLink Bücher | Springer eBook Collection EngineeringVerlag: Cham : Springer, 2016Auflage: 1st ed. 2016Beschreibung: Online-Ressource (X, 48 p. 21 illus., 2 illus. in color, online resource)ISBN:

9783319222943

Schlagwörter:

Andere physische Formen: 9783319222936 | Druckausg.: 978-3-319-22293-6 LOC-Klassifikation:

TH3301-3411

DOI: DOI: 10.1007/978-3-319-22294-3Online-Ressourcen:

Zusammenfassung: 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 scientistsPPN: PPN: 1657869539Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE

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