Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions

1. Auflage 2016
ISBN: 978-3-319-22293-6
Verlag: Springer International Publishing

Buch, Englisch, 48 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1066 g

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.

Manuel, Sofia

Almeida, Ricardo M.S.F.

Simões, Maria L.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Technische Wissenschaften Bauingenieurwesen Bauökologie, Baubiologie, Bauphysik, Bauchemie
• Technische Wissenschaften Bauingenieurwesen Mathematische Methoden, Computeranwendungen (Bauingenieurwesen)

Inhaltsverzeichnis

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