Environmental Data Analysis for Learning Behavioral Patterns in Smart Homes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F16%3APU121458" target="_blank" >RIV/00216305:26210/16:PU121458 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Environmental Data Analysis for Learning Behavioral Patterns in Smart Homes
Original language description
Data acquisition in smart homes is common activity to ensure a stable, natural and energy saving environment inside the building. However, typical usage of acquired data is limited to temperature/humidity monitoring connected to thermostat or AC control. Modern smart homes try to interconnect all standalone control systems into one smart solution with information downloaded from internet as weather forecast, daytime, position of the sun on the sky, actual season, etc. We present a method, how to detect window ventilation from measured data so the control system can automatically turn-off heating which leads to saving money for energy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20206 - Computer hardware and architecture
Result continuities
Project
<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2016 17th International Conference on Mechatronics – Mechatronika (ME) 2016
ISBN
978-80-01-05882-4
ISSN
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e-ISSN
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Number of pages
555
Pages from-to
386-391
Publisher name
Czech Technical University in Prague
Place of publication
Prague
Event location
Praha
Event date
Dec 7, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000400174000065