Predictive Model of Energy Consumption of a Home
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Predictive Model of Energy Consumption of a Home
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Predictive Model of Energy Consumption of a Home
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20205 - Automation and control systems
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
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
—
Počet stran výsledku
10
Strana od-do
531-540
Název nakladatele
Springer Nature Switzerland AG
Místo vydání
Cham
Místo konání akce
Vsetín
Datum konání akce
14. 10. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—