Table of contents
About this book
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.
- Book Title Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions
- Series Title SpringerBriefs in Applied Sciences and Technology
- Series Abbreviated Title SpringerBriefs in Applied Sciences
- DOI https://doi.org/10.1007/978-3-319-22294-3
- Copyright Information The Author(s) 2016
- Publisher Name Springer, Cham
- eBook Packages Engineering Engineering (R0)
- Softcover ISBN 978-3-319-22293-6
- eBook ISBN 978-3-319-22294-3
- Series ISSN 2191-530X
- Series E-ISSN 2191-5318
- Edition Number 1
- Number of Pages X, 48
- Number of Illustrations 19 b/w illustrations, 2 illustrations in colour
Building Repair and Maintenance
Data Mining and Knowledge Discovery
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