• DocumentCode
    2294893
  • Title

    Electric power system load forecasting using separated modeling of Gompertz model

  • Author

    Zhan-Hui Liu ; Li, Geng-Yin ; Zhou, Hui-ming

  • Author_Institution
    Dept. of Appl. Math., North China Electr. Power Univ., Baoding, China
  • Volume
    5
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    3009
  • Abstract
    Based on further investigating the separated modeling method of grey system, we have studied general grouping number of GM (1, 1) separated modeling and mergence method of data. It is obtained that the mergence function is commonly the special situation of the S-step average function. Combining the thought of related degree, the separated modeling method of Gompertz model is put forward. Taking the forecast of the power consumption some network as an example, the calculation results indicate that the error is smaller than 1%.
  • Keywords
    load forecasting; power consumption; power system simulation; Gompertz model; S-step average function; data mergence method; electric power system; grey system; load forecasting; power consumption; separated modelling method; Energy consumption; Energy management; Load forecasting; Load management; Load modeling; Mathematical model; Mathematics; Power system management; Power system modeling; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1378548
  • Filename
    1378548