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Electricity Price Forecasting Methods Applied to Spanish Electricity Market

dc.contributor.authorOrtiz, M.
dc.contributor.authorUkar, O.
dc.contributor.authorAzevedo, Filipe
dc.contributor.authorMugica, A.
dc.date.accessioned2017-01-24T15:54:05Z
dc.date.embargo2117
dc.date.issued2013-04
dc.description.abstractForecasting electricity prices is a fundamental task for all type of markets participants including electricity markets. There are factors that bring unce1tainty to price formation, such as demand forecasting, fuel prices, player's strategies, regulatory changes, weather conditions and technical restrictions and generation availability. In addition, the particular characteristics of electricity (supply must be in balance with demand) make this task more complicated. So, it is necessary to develop accurate and robust techniques on a sho1t-term (days) and long-term basis (months). This work presents two methodologies to be applied to long-term electricity prices forecasting (months) in Spanish electricity market for a glven period. A study case with real data is presented and discussed in detail.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.issn1889-7762
dc.identifier.urihttp://hdl.handle.net/10400.22/9365
dc.language.isoengpt_PT
dc.publisherPurple Gate Publishingpt_PT
dc.relation.ispartofseriesIJKST;Vol.1, Issue 5
dc.subjectArtificial neural networkspt_PT
dc.subjectElectricity Marketspt_PT
dc.subjectPrice Forecastingpt_PT
dc.subjectRegression Modelspt_PT
dc.titleElectricity Price Forecasting Methods Applied to Spanish Electricity Marketpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage39pt_PT
oaire.citation.issue5pt_PT
oaire.citation.startPage31pt_PT
oaire.citation.titleInternational Journal for Knowledge, Science and Technologypt_PT
oaire.citation.volume1pt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT

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