• DocumentCode
    477472
  • Title

    The Model Based on Grey Theory and PSO for Electricity Consumption Forecasting

  • Author

    Sun, Wei ; Yan, Yujing

  • Author_Institution
    Dept. of Econ. Manage., North China Electr. Power Univ., Baoding
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    152
  • Lastpage
    156
  • Abstract
    To improve the forecasting precision of electricity consumption, and content the demand of marketing, we establish the model by combining particle swarm optimization (PSO) with the improved grey theory. The method is simple, easy to do practice and its convergence rate is quick. It can find the overall optimal solution of problems in great probability, and can effectively overcome the shortage of the traditional grey theory. To prove the validity, this paper forecasts the electricity consumption in Bayannur region. The result shows that, the model has higher forecasting precision and extensive application.
  • Keywords
    convergence; grey systems; load forecasting; particle swarm optimisation; power consumption; prediction theory; probability; convergence rate; electricity consumption forecasting; grey prediction model; grey theory model; marketing demand; particle swarm optimization; probability; Automation; Birds; Conference management; Content management; Economic forecasting; Energy consumption; Particle swarm optimization; Predictive models; Sun; Technology forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.40
  • Filename
    4659462