• DocumentCode
    2516843
  • Title

    A novel prediction modeling scheme based on multiple information fusion for day-ahead electricity price

  • Author

    Tian, Huixin ; Li, Kun ; Meng, Bo

  • Author_Institution
    Electr. Eng. & Autom. Dept., Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    1801
  • Lastpage
    1805
  • Abstract
    On the basis of the information fusion idea, a novel multiple information fusion modeling method is proposed. Several artificial neural networks are used to fuse the information of data. And then the results of information fusion by ANNs will be fused again according to their performance. Using the novel multiple information fusion scheme, a new modeling approach is presented 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 multiple information fusion method has better performance.
  • Keywords
    neural nets; power engineering computing; power markets; sensor fusion; artificial neural networks; day-ahead electricity price; multiple information fusion modeling method; prediction modeling scheme; Artificial neural networks; Data models; Electricity; Machine learning; Power markets; Prediction algorithms; Predictive models; Multiple information fusion; artificial neural network; electricity price; prediction model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968490
  • Filename
    5968490