• DocumentCode
    1597631
  • Title

    The Daily Electric Load Forecasting Based on Fuzzy Rules

  • Author

    Liu, Tongna ; Zhang, Qian

  • Author_Institution
    Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2010
  • Firstpage
    8
  • Lastpage
    10
  • Abstract
    This paper proposes a new method for load forecasting-fuzzy rules by genetic algorithms based on Takagi-Sugeno fuzzy logic system, and establishing the fuzzy model for load forecasting. It can be seen from the example this method can improve effectively the forecast accuracy and speed. It can be applied to the daily electric load forecasting.
  • Keywords
    fuzzy logic; fuzzy systems; genetic algorithms; load forecasting; Takagi-Sugeno fuzzy logic system; daily electric load forecasting; fuzzy rules; genetic algorithms; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Genetic algorithms; Load forecasting; Power system modeling; Predictive models; Space technology; Takagi-Sugeno model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4244-5642-0
  • Electronic_ISBN
    978-1-4244-5643-7
  • Type

    conf

  • DOI
    10.1109/ICCMS.2010.327
  • Filename
    5421312
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1597631