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
—