• DocumentCode
    3187328
  • Title

    Prediction of day-ahead electricity price based on information fusion

  • Author

    Tian, Huixin ; Zhang, Mu ; Meng, Bo

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2010
  • fDate
    3-5 Dec. 2010
  • Firstpage
    457
  • Lastpage
    460
  • Abstract
    Aiming at the characters of day-ahead electricity price, a novel information fusion method is proposed. A new neural network method ELM is selected for its better performance as the core algorithm of information fusion. Using the information fusion ideas, a new 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 ELM information fusion method has better performance.
  • Keywords
    neural nets; power markets; day-ahead electricity price; information fusion; neural network; Biological neural networks; Computational modeling; Electricity; Power markets; Prediction algorithms; Predictive models; Information fusion; electricity market; electricity price prediction; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Application (ICCIA), 2010 International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-8597-0
  • Type

    conf

  • DOI
    10.1109/ICCIA.2010.6141635
  • Filename
    6141635