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http://acervodigital.unesp.br/handle/11449/72448
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DC Field | Value | Language |
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dc.contributor.author | Melo, J. D. | - |
dc.contributor.author | Carreno, E. M. | - |
dc.contributor.author | Padilha-Feltrin, A. | - |
dc.date.accessioned | 2014-05-27T11:25:53Z | - |
dc.date.accessioned | 2016-10-25T18:33:57Z | - |
dc.date.available | 2014-05-27T11:25:53Z | - |
dc.date.available | 2016-10-25T18:33:57Z | - |
dc.date.issued | 2011-05-31 | - |
dc.identifier | http://dx.doi.org/10.1109/TDC-LA.2010.5762882 | - |
dc.identifier.citation | 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 196-203. | - |
dc.identifier.uri | http://hdl.handle.net/11449/72448 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/72448 | - |
dc.description.abstract | A method for spatial electric load forecasting using multi-agent systems, especially suited to simulate the local effect of special loads in distribution systems is presented. The method based on multi-agent systems uses two kinds of agents: reactive and proactive. The reactive agents represent each sub-zone in the service zone, characterizing each one with their corresponding load level, represented in a real number, and their relationships with other sub-zones represented in development probabilities. The proactive agent carry the new load expected to be allocated because of the new special load, this agent distribute the new load in a propagation pattern. The results are presented with maps of future expected load levels in the service zone. The method is tested with data from a mid-size city real distribution system, simulating the effect of a load with attraction and repulsion attributes. The method presents good results and performance. © 2011 IEEE. | en |
dc.format.extent | 196-203 | - |
dc.language.iso | eng | - |
dc.source | Scopus | - |
dc.subject | agent | - |
dc.subject | distribution planning | - |
dc.subject | knowledge extraction | - |
dc.subject | land use | - |
dc.subject | multi-agent systems | - |
dc.subject | Spatial electric load forecasting | - |
dc.subject | Demand propagation | - |
dc.subject | Distribution systems | - |
dc.subject | Expected loads | - |
dc.subject | Knowledge extraction | - |
dc.subject | Load levels | - |
dc.subject | Local effects | - |
dc.subject | Propagation pattern | - |
dc.subject | Reactive agent | - |
dc.subject | Real distribution | - |
dc.subject | Real number | - |
dc.subject | Spatial load forecasting | - |
dc.subject | Electric load distribution | - |
dc.subject | Electric loads | - |
dc.subject | Forecasting | - |
dc.subject | Intelligent agents | - |
dc.subject | Local area networks | - |
dc.subject | Multi agent systems | - |
dc.subject | Electric load forecasting | - |
dc.title | Spatial load forecasting using a demand propagation approach | en |
dc.type | outro | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.contributor.institution | Universidade Estadual do Oeste do Paraná (UNIOESTE) | - |
dc.description.affiliation | Universidade Estadual Paulista (UNESP), Ilha Solteira, SP | - |
dc.description.affiliation | CECE-UNIOESTE, Foz de Iguaçu-PR | - |
dc.description.affiliationUnesp | Universidade Estadual Paulista (UNESP), Ilha Solteira, SP | - |
dc.identifier.doi | 10.1109/TDC-LA.2010.5762882 | - |
dc.rights.accessRights | Acesso restrito | - |
dc.relation.ispartof | 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010 | - |
dc.identifier.scopus | 2-s2.0-79957564714 | - |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
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