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Towards online operation of a RBF neural network model to forecast the Portuguese electricity consumption

dc.contributor.authorFerreira, P. M.
dc.contributor.authorRuano, Antonio
dc.contributor.authorPestana, Rui
dc.date.accessioned2013-02-05T14:02:15Z
dc.date.available2013-02-05T14:02:15Z
dc.date.issued2011
dc.date.updated2013-02-03T10:45:27Z
dc.description.abstractIn previous work the authors successfully identified a radial basis function neural network to forecast the Portuguese electricity consumption profile within a 48 hour predictive horizon. As the model is a static mapping employing external dynamics and the electricity consumption trends and dynamics are varying with time, its predictive performance degrades after a certain period. One of the simpler ways to counteract this effect is by retraining the model at certain time intervals. In this paper this methodology is investigated considering regular and irregular retraining periods. For the latter, a criterion is defined in order to trigger the retraining procedure. The results obtained are compared to a nearest-neighbour predictive approach that achieves acceptable predictive performance and operates on a sliding window of data, therefore providing some level of adaptation. Also an analysis is made in order to find the time of day where the prediction error is smaller. Globally the retraining technique provides satisfactory maintenance of predictive performance although exhibiting alternating levels.por
dc.identifier.citationFerreira, Pedro M.; Ruano, Antonio E.; Pestana, Rui. Towards online operation of a RBF neural network model to forecast the Portuguese electricity consumption, Trabalho apresentado em 2011 IEEE 7th International Symposium on Intelligent Signal Processing - (WISP 2011), In 2011 IEEE 7th International Symposium on Intelligent Signal Processing, Floriana, Malta, 2011.por
dc.identifier.doihttp://dx.doi.org/10.1109/WISP.2011.6051697
dc.identifier.isbn978-1-4577-1403-0
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2217
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.titleTowards online operation of a RBF neural network model to forecast the Portuguese electricity consumptionpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFloriana, Maltapor
oaire.citation.endPage153por
oaire.citation.startPage147por
oaire.citation.title7th International Symposium on Intelligent Signal Processingpor
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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