Full metadata record
DC FieldValueLanguage
dc.contributor.authorZąbkowski, Tomasz
dc.contributor.authorGajowniczek, Krzysztof
dc.date.accessioned2014-07-17T14:20:53Z
dc.date.available2014-07-17T14:20:53Z
dc.date.issued2013
dc.identifier.citationISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. IV-59-IV-60.en
dc.identifier.isbn978-80-261-0246-5
dc.identifier.urihttp://hdl.handle.net/11025/11528
dc.description.abstractSmart metering is a quite new topic that has grown in importance all over the world and it appears to be a remedy for rising prices of electricity. Forecasting electricity usage is an important task to provide intelligence to the smart gird. Accurate forecasting will enable a utility provider to plan the resources and also to take control actions to balance the electricity supply and demand. The customers will benefit from metering solutions through greater understanding of their own energy consumption and future projections, allowing them to better manage costs of their usage. In this proof of concept paper, our contribution is the proposal for accurate short term electricity load forecasting for 24 hours ahead, not on the aggregate but on the individual household level.en
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.relation.ispartofseriesISTET: International Symposium on Theoretical Electrical Engineeringen
dc.rights© University of West Bohemiaen
dc.subjectinteligentní měřenícs
dc.subjectkrátkodobá energetická předpověďcs
dc.subjectneuronové sítěcs
dc.subjectpřesnost předpovědics
dc.titleShort term electricity forecasting using smart meter dataen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedsmart meteringen
dc.subject.translatedshort term energy forecastingen
dc.subject.translatedneural networksen
dc.subject.translatedforecast accuracyen
dc.type.statusPeer-revieweden
Appears in Collections:ISTET 2013
ISTET 2013
ISTET 2013

Files in This Item:
File Description SizeFormat 
Ząbkowski.pdfPlný text305,48 kBAdobe PDFView/Open


Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11528

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.