• DocumentCode
    1609730
  • Title

    An improved grey model for forecasting spot and long term electricity price

  • Author

    Yanan, Zheng ; Li, Gengyin ; Zhou, Ming ; Lin, Shan ; Lo, K.L.

  • Author_Institution
    Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control under Minist. of Educ., North China Electr. Power Univ. Changping, Beijing, China
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With the deepening reform to power industries, power systems are going to gradually open the demand side and the power consumers have to face the changes of their role in the market, and make a preliminary long-term forecasting for the electricity prices. In order to consider the relations between the spot market and the long-term contract market, this paper builds a multi-electricity price grey model to comprehensive forecast the prices of the 2 markets; further researches the structure of the background value, and improves the multi-electricity price grey model; and introduces the residual error, the related grade, the mean variance ratio and the little probability of error as test indexes. The test results show that the multi-electricity price grey forecasting model and its improved model have better accuracy, and the improved model has stronger adaptability and extends the application range.
  • Keywords
    grey systems; load forecasting; power markets; electricity price forecasting; electricity prices; long-term contract market; multielectricity price grey model; power consumers; power industries; power systems; spot market; Accuracy; Contracts; Electricity; Fitting; Forecasting; Indexes; Predictive models; Background value; Electricity price forecasting; Multi-variable grey model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-5938-4
  • Type

    conf

  • DOI
    10.1109/POWERCON.2010.5666371
  • Filename
    5666371