Ramos / Delgado / Almeida Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

1. Auflage 2016
ISBN: 978-3-319-22294-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 56 Seiten, eBook

Reihe: SpringerBriefs in Applied Sciences and Technology

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.

Zielgruppe

Research

Autoren/Hrsg.

Ramos, Nuno M.M.

Delgado, João M.P.Q.

Almeida, Ricardo M.S.F.

Simões, Maria L.

Manuel, Sofia

Inhaltsverzeichnis

Introduction.- Indoor hygrothermal conditions.- Data mining techniques.- Case Study.- Application of data mining techniques.- Conclusions.