دورية أكاديمية

Clustering the Occupant Behavior in Residential Buildings : a Method Comparison

التفاصيل البيبلوغرافية
العنوان: Clustering the Occupant Behavior in Residential Buildings : a Method Comparison
المؤلفون: Carbonare, Nicolás, Pflug, T., Wagner, Andreas
بيانات النشر: Karlsruher Institut für Technologie
سنة النشر: 2018
المجموعة: KITopen (Karlsruhe Institute of Technologie)
مصطلحات موضوعية: ddc:720, Architecture, info:eu-repo/classification/ddc/720
الوصف: The aim of this paper is to investigate possible patterns of the occupant behaviour in residential buildings. Measurements were taken in multifamily buildings where several occupantrelated variables were recorded. We chose and compared two different clustering methods: whole time series and features clustering (kmeans algorithm). The mentioned methods were performed selecting two variables (window opening and indoor temperature), and tested with supervised learning methods. Results suggest that features clustering can perform better than whole time series. The representation of the occupant behaviour through features is meant to be applied in future work regarding the optimization of control strategies in ventilation systems.
نوع الوثيقة: article in journal/newspaper
conference object
وصف الملف: application/pdf
اللغة: English
العلاقة: https://publikationen.bibliothek.kit.edu/1000085746Test; https://publikationen.bibliothek.kit.edu/1000085746/18712507Test; https://doi.org/10.5445/IR/1000085746Test; http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-857460Test
DOI: 10.5445/IR/1000085746
الإتاحة: https://doi.org/10.5445/IR/1000085746Test
https://publikationen.bibliothek.kit.edu/1000085746Test
https://publikationen.bibliothek.kit.edu/1000085746/18712507Test
http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-857460Test
حقوق: KITopen License, https://publikationen.bibliothek.kit.edu/kitopen-lizenzTest ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.99FB566
قاعدة البيانات: BASE