Predictive Model of Household Consumption in Conjunction with Complementary Electricity Generation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0199788" target="_blank" >RIV/00216305:26220/26:0199788 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Predictive Model of Household Consumption in Conjunction with Complementary Electricity Generation
Original language description
The growing importance of decentralized energy sources and the concept of community energy present new challenges in predicting and optimizing electricity consumption. This work builds on previous research and focuses on enhancing predictive models of electricity consumption by incorporating photovoltaic systems (PV) in residential homes.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
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 II of the Conference Student Eeict
ISBN
9788021463219
ISSN
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e-ISSN
2788-1334
Number of pages
4
Pages from-to
185-188
Publisher name
Brno University of Technology
Place of publication
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Event location
Brno
Event date
Apr 29, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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