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Analysis of Electricity Markets Using Multidimensional Scaling

dc.contributor.authorAzevedo, Filipe
dc.contributor.authorMachado, J. A. Tenreiro
dc.date.accessioned2016-12-16T10:57:01Z
dc.date.available2016-12-16T10:57:01Z
dc.date.issued2012-05
dc.description.abstractThis paper studies the impact of the energy upon electricity markets using Multidimensional Scalling (MDS). MDS is a computational and statistical technique that produces a spatial representation of similarity between objects through factors of relatedness. MDS represents in a low dimensional map data points whose similarities are defined in a higher dimensional space. Data from major energy and electricity markets is considered. Several maps produced by MDS are presented and discussed revealing that this method is useful for understanding the correlation between them. Furthermore, the results help electricity markets agents hedging against Market Clearing Price (MCP) volatility.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.doi10.1109/EEM.2012.6254792pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/8834
dc.language.isoengpt_PT
dc.relation.ispartofseriesEEM;2012
dc.subjectEconometric modelspt_PT
dc.subjectElectricity marketspt_PT
dc.subjectElectricity price volabilitypt_PT
dc.subjectEnergy marketspt_PT
dc.subjectHedgingpt_PT
dc.subjectMultidimensional scalingpt_PT
dc.titleAnalysis of Electricity Markets Using Multidimensional Scalingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFlorence, Italy, 10-12 May 2012pt_PT
oaire.citation.endPage4pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title9th International Conference on The European Energy Marketpt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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