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Short-term Price Forecast From Risk Management Point of View

dc.contributor.authorAzevedo, Filipe
dc.contributor.authorVale, Zita
dc.date.accessioned2017-03-08T15:09:47Z
dc.date.issued2005
dc.description.abstractThis paper provides a different approach for electricity price forecast from risk management point of view. Making use of neural networks, the methodology presented here has as main concern finding the maximum and the minimum System Marginal Price (SMP) for a specific programming period, with a certain confidence level. To train the neural network, probabilistic information from past years is used. This approach was developed with the objective of integrating a decisionsupport system that uses Particle Swarm Optimization (PSO) to find the optimal solution. Results from realistic data are presented and discussed in detail.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ISAP.2005.1599249pt_PT
dc.identifier.isbn1-59975-028-7
dc.identifier.urihttp://hdl.handle.net/10400.22/9581
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation.ispartofseriesISAP;2005
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/1599249/pt_PT
dc.subjectElectricity Price Forecastpt_PT
dc.subjectRisk Managementpt_PT
dc.subjectNeural Networkspt_PT
dc.subjectLiberalized Energy Marketspt_PT
dc.titleShort-term Price Forecast From Risk Management Point of Viewpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceWashington, EUApt_PT
oaire.citation.titleProceedings ISAP 2005 - 13th International Conference on Intelligent Systems Application to Power Systemspt_PT
person.familyNameVale
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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