Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
| By: | Nuno M.M. Ramos; João M.P.Q. Delgado; Ricardo M.S.F. Almeida; Maria L. Simões; Sofia Manuel |
| Publisher: | Springer Nature |
| Print ISBN: | 9783319222936 |
| eText ISBN: | 9783319222943 |
| Edition: | 0 |
| Copyright: | 2016 |
| Format: | Page Fidelity |
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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.