Prediction of household consumption based on the model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00334599" target="_blank" >RIV/68407700:21230/19:00334599 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Prediction of household consumption based on the model
Original language description
In the electric power grid, an influence of intermittent sources starts not to be negligible. Increasing the percentage of production from renewable energy sources may increase demands for power regulation in the network. However, the power regulation is now mostly ensured through the control of fossil power plants. Exiting from the use of fossil fuels will further reduce the possibility of regulation. One of the solutions can be regulation on the customer side where they can actively manage their consumption. This solution requires the development of infrastructures such as smart meter and communication systems, which have been, however, uneconomic so far. Until the cost of technology is reduced, the way to develop a decentralized energy grid is by using the predictions of user consumption. Such an estimate must be much more accurate than the currently available load profile of distribution tariffs. The present research, therefore, evaluates the changes in diagrams of households` electricity consumption based on usage of the different household electric appliances, prediction of lifestyle patterns, improving thermal and the technical properties of the buildings leading to a model to estimate the future consumption profile of households. All research is carried out on data from the Czech Republic
Czech name
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Czech description
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Project
<a href="/en/project/GA18-02756S" target="_blank" >GA18-02756S: Transaction costs of energy efficiency programmes: the effect of learning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
10th International Scientific Symposium on Electrical Power Engineering, ELEKTROENERGETIKA 2019
ISBN
9788055333243
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
107-110
Publisher name
TU Košice, FEI
Place of publication
Košice
Event location
Stará Lesná
Event date
Sep 16, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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