dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Estadual do Oeste do Paraná (UNIOESTE)
dc.date.accessioned2014-05-27T11:27:25Z
dc.date.available2014-05-27T11:27:25Z
dc.date.created2014-05-27T11:27:25Z
dc.date.issued2012-12-11
dc.identifierIEEE Power and Energy Society General Meeting.
dc.identifier1944-9925
dc.identifier1944-9933
dc.identifierhttp://hdl.handle.net/11449/74064
dc.identifier10.1109/PESGM.2012.6345436
dc.identifierWOS:000312493705107
dc.identifier2-s2.0-84870624160
dc.description.abstractWhen dealing with spatio-temporal simulations of load growth inside a service zone, one of the most important problems faced by a Distribution Utility is how to represent the different relationships among different areas. A new load in a certain part of the city could modify the load growth in other parts of the city, even outside of its radius of influence. These interactions are called Urban Dynamics. This work aims to discuss how to implement Urban Dynamics considerations into the spatial electric load forecasting simulations using multi-agent simulations. To explain the approach, three examples are introduced, including the effect of an attraction load, the effect of a repulsive load, and the effect of several attraction/repulsive loads at the same time when considering the natural load growth. © 2012 IEEE.
dc.languageeng
dc.relationIEEE Power and Energy Society General Meeting
dc.relation0,328
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectagent
dc.subjectdistribution planning
dc.subjectland use
dc.subjectload growth
dc.subjectmulti-agent
dc.subjectspatial electric load forecasting
dc.subjecturban dynamic
dc.subjectDistribution planning
dc.subjectDistribution utilities
dc.subjectLoad growth
dc.subjectMulti agent simulation
dc.subjectNatural loads
dc.subjectRadius of influences
dc.subjectSpatio-temporal simulation
dc.subjectUrban dynamics
dc.subjectAgents
dc.subjectElectric load forecasting
dc.subjectLand use
dc.subjectUrban growth
dc.titleConsidering Urban Dynamics in spatial electric load forecasting
dc.typeActas de congresos


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