Application Of Data Mining Techniques In The Analysis Of Indoor Hygrothermal Conditions - ENG
| ISBN: | 9783319222943 |
|---|---|
| Formato: | Page Fidelity |
| Idioma: | Inglés |
| Editorial: | Springer Nature |
| Tema: | Tecnología e ingeniería |
| Subtema: | Civil general |
| Año de publicación: | 2015-08-24 |
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.










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