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Predictive Model of Energy Consumption of a Home

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39916797" target="_blank" >RIV/00216275:25530/20:39916797 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-63319-6_49" target="_blank" >http://dx.doi.org/10.1007/978-3-030-63319-6_49</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-63319-6_49" target="_blank" >10.1007/978-3-030-63319-6_49</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive Model of Energy Consumption of a Home

  • Original language description

    The usage of the renewable energy sources and electric vehicles is rising which might result in a problem with the energy grid stabilization. Some works state that buildings contribute to the overall energy consumption by 20 – 40 % which makes them a great subject to study. Finding solutions for better energy manage-ment can have a significant impact on the energy sector. This work focuses on proposing a simplified model of a home considering main appliances, heating and cooling, a photovoltaic system, an electric vehicle and weather and solar irradi-ance forecasts. The model is created in MATLAB as a simulation script with de-fined parameters. It uses a 5 day weather forecast to predict energy demands of a home as well as expected energy generation by the photovoltaic panels. This model can be used to better understanding the energy demand of either a single building or a community of buildings put together based on the information about the outside environment. Another possibility is to use the model for predictive optimization in order to find better ways of energy usage in a building.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Software engineering perspectives in intelligent systems : proceedings of 4th computational methods in systems and software 2020, Vol.2

  • ISBN

    978-3-030-63318-9

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    531-540

  • Publisher name

    Springer Nature Switzerland AG

  • Place of publication

    Cham

  • Event location

    Vsetín

  • Event date

    Oct 14, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article