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Application of data mining techniques in the analysis of indoor hygrothermal conditions
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 h...
Autores principales: | , , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2016
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-22294-3 http://cds.cern.ch/record/2062519 |
_version_ | 1780948534171795456 |
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author | Ramos, Nuno M M Delgado, João M P Q Almeida, Ricardo M S F Simões, Maria L Manuel, Sofia |
author_facet | Ramos, Nuno M M Delgado, João M P Q Almeida, Ricardo M S F Simões, Maria L Manuel, Sofia |
author_sort | Ramos, Nuno M M |
collection | CERN |
description | 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. |
id | cern-2062519 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
publisher | Springer |
record_format | invenio |
spelling | cern-20625192021-04-21T20:03:38Zdoi:10.1007/978-3-319-22294-3http://cds.cern.ch/record/2062519engRamos, Nuno M MDelgado, João M P QAlmeida, Ricardo M S FSimões, Maria LManuel, SofiaApplication of data mining techniques in the analysis of indoor hygrothermal conditionsEngineeringThe 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.Springeroai:cds.cern.ch:20625192016 |
spellingShingle | Engineering Ramos, Nuno M M Delgado, João M P Q Almeida, Ricardo M S F Simões, Maria L Manuel, Sofia Application of data mining techniques in the analysis of indoor hygrothermal conditions |
title | Application of data mining techniques in the analysis of indoor hygrothermal conditions |
title_full | Application of data mining techniques in the analysis of indoor hygrothermal conditions |
title_fullStr | Application of data mining techniques in the analysis of indoor hygrothermal conditions |
title_full_unstemmed | Application of data mining techniques in the analysis of indoor hygrothermal conditions |
title_short | Application of data mining techniques in the analysis of indoor hygrothermal conditions |
title_sort | application of data mining techniques in the analysis of indoor hygrothermal conditions |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-319-22294-3 http://cds.cern.ch/record/2062519 |
work_keys_str_mv | AT ramosnunomm applicationofdataminingtechniquesintheanalysisofindoorhygrothermalconditions AT delgadojoaompq applicationofdataminingtechniquesintheanalysisofindoorhygrothermalconditions AT almeidaricardomsf applicationofdataminingtechniquesintheanalysisofindoorhygrothermalconditions AT simoesmarial applicationofdataminingtechniquesintheanalysisofindoorhygrothermalconditions AT manuelsofia applicationofdataminingtechniquesintheanalysisofindoorhygrothermalconditions |