• DocumentCode
    1632014
  • Title

    Multi-agent framework for spatial load forecasting

  • Author

    Melo, J.D. ; Carreno, E.M. ; Padilha-Feltrin, A.

  • Author_Institution
    Univ. Estadual Paulista (UNESP), Paulista, Brazil
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A multi-agent framework for spatial electric load forecasting, especially suited to simulate the different dynamics involved on distribution systems, is presented. The service zone is divided into several sub-zones, each subzone is considered as an independent agent identified with a corresponding load level, and their relationships with the neighbor zones are represented as development probabilities. With this setting, different kind of agents can be developed to simulate the growth pattern of the loads in distribution systems. This paper presents two different kinds of agents to simulate different situations, presenting some promissory results.
  • Keywords
    load forecasting; multi-agent systems; power distribution planning; power engineering computing; distribution system load; distribution systems; growth pattern; multi-agent framework; spatial electric load forecasting; Arrays; Cities and towns; Databases; Load forecasting; Load modeling; Mobile agents; Multiagent systems; Spatial electric load forecasting; agent; distribution planning; knowledge extraction; land use; multi-agent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039624
  • Filename
    6039624