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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • e-ISSN

  • 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