Predictive Model of Household Consumption in Conjunction with Complementary Clectricity Generation

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but.event.date29.04.2025cs
but.event.titleSTUDENT EEICT 2025cs
dc.contributor.authorPavlík, Libor
dc.contributor.authorRadil, Lukáš
dc.date.accessioned2025-07-30T10:00:56Z
dc.date.available2025-07-30T10:00:56Z
dc.date.issued2025cs
dc.description.abstractThe 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.en
dc.formattextcs
dc.format.extent185-188cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 31st Conference STUDENT EEICT 2025: General papers. s. 185-188. ISBN 978-80-214-6321-9cs
dc.identifier.isbn978-80-214-6321-9
dc.identifier.urihttps://hdl.handle.net/11012/255276
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 31st Conference STUDENT EEICT 2025: General papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectenergy consumption predictionen
dc.subjectcommunity energyen
dc.subjectelectricity sharingen
dc.titlePredictive Model of Household Consumption in Conjunction with Complementary Clectricity Generationen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs

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