Description
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions, 1st ed. 2016
SpringerBriefs in Applied Sciences and Technology Series
Authors: Ramos Nuno M.M., Delgado João M.P.Q., Almeida Ricardo M.S.F., Simões Maria L., Manuel Sofia
Language: EnglishSubject for Application of Data Mining Techniques in the Analysis of...:
52.74 €
In Print (Delivery period: 15 days).
Add to cart the print on demand of Ramos Nuno M.M., Delgado João M.P.Q., Almeida Ricardo M.S.F., Simões Maria L., Manuel SofiaSupport: Print on demand
Description
/li>Contents
/li>Comment
/li>
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.
Introduction.- Indoor hygrothermal conditions.- Data mining techniques.- Case Study.- Application of data mining techniques.- Conclusions.