Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
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Beschreibung
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.
Explores available methodologies for both conducting in-situ measurements and adequately explore the results Involves a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering Offers a synthesis of the current state of knowledge for benefit of professional engineers and scientists Includes supplementary material: sn.pub/extras
Autor*in
Nuno M.M. Ramos
Themen in »Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions«
Air permeability Data mining Statistical tools Hygrothermal comfort Indoor environment Multivariate analysis Outdoor conditions