• DocumentCode
    2850858
  • Title

    Day-ahead electricity price prediction based on multiple ELM

  • Author

    Tian, Huixin ; Meng, Bo ; Wang, Shuzhou

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    241
  • Lastpage
    244
  • Abstract
    Aiming at the characters of day-ahead electricity price, an electricity price prediction model is established by combining the intelligent modeling methods. A new neural network method ELM is selected for its better performance to establish the basic day-ahead electricity price prediction model. Using the information fusion and ensemble ideas, a multiple ELM modeling approach is proposed to establish the prediction model. The day-ahead electricity price prediction model is tested by the real data. The experiments demonstrate that the new prediction model established by the new method has better performance.
  • Keywords
    learning (artificial intelligence); neural nets; power engineering computing; power markets; day-ahead electricity price prediction; extreme learning machine; intelligent modeling methods; multiple ELM network; neural network method; Automation; Econometrics; Feedforward neural networks; Joining processes; Machine learning; Neural networks; Power markets; Power system modeling; Predictive models; Statistical analysis; ELM; electricity market; electricity price prediction; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5499079
  • Filename
    5499079