You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/71475
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCarreno, E. M.-
dc.contributor.authorPadilha-Feltrin, A.-
dc.date.accessioned2014-05-27T11:24:34Z-
dc.date.accessioned2016-10-25T18:28:08Z-
dc.date.available2014-05-27T11:24:34Z-
dc.date.available2016-10-25T18:28:08Z-
dc.date.issued2009-12-09-
dc.identifierhttp://dx.doi.org/10.1109/ISAP.2009.5352827-
dc.identifier.citation2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09.-
dc.identifier.urihttp://hdl.handle.net/11449/71475-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/71475-
dc.description.abstractAn agent based model for spatial electric load forecasting using a local movement approach for the spatiotemporal allocation of the new loads in the service zone is presented. The density of electrical load for each of the major consumer classes in each sub-zone is used as the current state of the agents. The spatial growth is simulated with a walking agent who starts his path in one of the activity centers of the city and goes to the limits of the city following a radial path depending on the different load levels. A series of update rules are established to simulate the S growth behavior and the complementarity between classes. The results are presented in future load density maps. The tests in a real system from a mid-size city show a high rate of success when compared with other techniques. The most important features of this methodology are the need for few data and the simplicity of the algorithm, allowing for future scalability. © 2009 IEEE.en
dc.language.isoeng-
dc.sourceScopus-
dc.subjectAgent based models-
dc.subjectDistribution planning-
dc.subjectKnowledge extraction-
dc.subjectLand use-
dc.subjectSpatial electric load forecasting-
dc.subjectActivity centers-
dc.subjectAgent-based model-
dc.subjectConsumer class-
dc.subjectElectrical load-
dc.subjectGrowth behavior-
dc.subjectHigh rate-
dc.subjectLoad density-
dc.subjectLoad levels-
dc.subjectSpatial growth-
dc.subjectElectric load distribution-
dc.subjectElectric loads-
dc.subjectIntelligent systems-
dc.subjectMulti agent systems-
dc.subjectElectric load forecasting-
dc.titleSpatial electric load forecasting using a local movement approachen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniversidade Estadual Paulista (UNESP), Ilha Solteira - SP-
dc.description.affiliationUnespUniversidade Estadual Paulista (UNESP), Ilha Solteira - SP-
dc.identifier.doi10.1109/ISAP.2009.5352827-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartof2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09-
dc.identifier.scopus2-s2.0-76549123432-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

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