• DocumentCode
    2560044
  • Title

    Load forecasting model based on multi-agents cooperation

  • Author

    Pan, Guanyu ; Dou, Quansheng

  • Author_Institution
    Inst. of Math., Jilin Univ., Changchun, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1197
  • Lastpage
    1202
  • Abstract
    This paper proposed the electricity load Load Forecasting based on the multi-agent (Multi-Agents System MAS)coordination, and encapsulated different forecasting models into different Agents, by using communication between the Agents and the corporation mechanism , the forecasting problem can be solved, and cooperatively forecast based on the approximate day model, regression model, neural network model and rules revision model. The experiments showed that the cooperative forecasting model can get better forecasting precision, and the forecasting results are relatively stable, which is significant for the improvement of real load forecasting precision.
  • Keywords
    load distribution; load forecasting; multi-agent systems; neural nets; regression analysis; MAS; approximate day model; cooperative forecasting model; corporation mechanism; electricity load; load forecasting model; load forecasting precision; multiagent cooperation; multiagent coordination; multiagent system; neural network model; regression model; rules revision model; Accuracy; Data models; Forecasting; Load forecasting; Load modeling; Neural networks; Predictive models; Cooperation; MAS; load forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2012 Eighth International Conference on
  • Conference_Location
    Chongqing
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4577-2130-4
  • Type

    conf

  • DOI
    10.1109/ICNC.2012.6234721
  • Filename
    6234721