• DocumentCode
    3358320
  • Title

    Research of the Load Forecasting Model Base on HHT and Combination of ANN

  • Author

    Bai, Weili ; Liu, Zhigang ; Zhou, Dengdeng ; Wang, Qi

  • Author_Institution
    Coll. of Electr. Eng., Southwest Jiaotong Univ., Chengdu
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A. new forecasting model based on HHT and combination of ANN is proposed in the paper. Load data can be decomposed into several IMF components and remainder by EMD firstly. Through calculating the spectrum of decomposed series by Hilbert transform algorithm, we can choose one appropriate forecasting model for each low frequency component, while use combination of ANN model for the high frequency component, according to low frequency components having stronger regularity and periodicity than high frequency components. Simulation results indicate that accuracy of the forecasting model discussed in the paper is higher than any one sole model and the traditional linear combination model.
  • Keywords
    Hilbert transforms; load forecasting; neural nets; ANN; EMD; HHT; Hilbert-Huang transform; artificial neural network; empirical mode decomposition; load forecasting model; Data analysis; Educational institutions; Electronic mail; Frequency; Load forecasting; Load modeling; Power system analysis computing; Power system modeling; Power system simulation; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918671
  • Filename
    4918671