• DocumentCode
    2057236
  • Title

    The short-term load forecasting based on fuzzy inference rules

  • Author

    Wang Xiao-Wen

  • Author_Institution
    Shenyang Inst. of Eng., Shenyang, China
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The fuzzy system used for short-term load forecasting is put forward. Based on relationship,the available historical load data are divided into some groups. Fuzzy system is used to map these sample data. The amending of rules parameters by descent method makes the output of FS coinciding with the data of loads,and FS can forecast future loads.
  • Keywords
    fuzzy logic; load forecasting; power engineering computing; FS; fuzzy inference rule; fuzzy logic; short-term load forecasting; Fuzzy logic; Supply and demand; inference rule; load forcasing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2012 China International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-7481
  • Print_ISBN
    978-1-4673-6065-4
  • Electronic_ISBN
    2161-7481
  • Type

    conf

  • DOI
    10.1109/CICED.2012.6508456
  • Filename
    6508456
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2057236