Publicação: Spatial load forecasting using a demand propagation approach
dc.contributor.author | Melo, J. D. [UNESP] | |
dc.contributor.author | Carreno, E. M. | |
dc.contributor.author | Padilha-Feltrin, A. [UNESP] | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Universidade Estadual do Oeste do Paraná (UNIOESTE) | |
dc.date.accessioned | 2014-05-27T11:25:53Z | |
dc.date.available | 2014-05-27T11:25:53Z | |
dc.date.issued | 2011-05-31 | |
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.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.format.extent | 196-203 | |
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.doi | 10.1109/TDC-LA.2010.5762882 | |
dc.identifier.scopus | 2-s2.0-79957564714 | |
dc.identifier.uri | http://hdl.handle.net/11449/72448 | |
dc.language.iso | eng | |
dc.relation.ispartof | 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010 | |
dc.rights.accessRights | Acesso aberto | |
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 | Trabalho apresentado em evento | |
dcterms.license | http://www.ieee.org/publications_standards/publications/rights/rights_policies.html | |
dspace.entity.type | Publication | |
unesp.author.lattes | 3886842168147059[3] | |
unesp.author.orcid | 0000-0001-6495-440X[3] | |
unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Engenharia, Ilha Solteira | pt |
unesp.department | Engenharia Elétrica - FEIS | pt |