• DocumentCode
    652989
  • Title

    Medium and long term load forecasting based on fuzzy times series

  • Author

    Zhou Tao ; Tang Zhong ; Ren Shuyan

  • Author_Institution
    Coll. of Electr. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
  • fYear
    2013
  • fDate
    25-27 Sept. 2013
  • Firstpage
    671
  • Lastpage
    673
  • Abstract
    Fuzzy theory can reduce the uncertainty dealing with problems because of the features of its semantic variables. It has been widely used in various fields, especially in load forecasting. We will firstly introduce the definition of fuzzy time series, and then a new method is applied to load forecasting. This method has not been used to do load forecasting and it has a wide developing future. At last, we will obtain the conclusion after calculation and analysis of a concrete example.
  • Keywords
    fuzzy set theory; load forecasting; time series; fuzzy theory; fuzzy times series; long-term load forecasting; medium-term load forecasting; semantic variables; uncertainty reduction; Educational institutions; Forecasting; Fuzzy sets; Load forecasting; Market research; Semantics; Time series analysis; fuzzy time series; load forecasting; power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Mechatronic Systems (ICAMechS), 2013 International Conference on
  • Conference_Location
    Luoyang
  • Print_ISBN
    978-1-4799-2518-6
  • Type

    conf

  • DOI
    10.1109/ICAMechS.2013.6681726
  • Filename
    6681726