• DocumentCode
    3468118
  • Title

    Volatility analysis on electricity price by Wavelet Analysis

  • Author

    Zheng, Hua ; Xie, Li ; Zhang, Lizi

  • Author_Institution
    North China Electr. Power Univ., Beijing
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    227
  • Lastpage
    232
  • Abstract
    In the electricity market, various market risks have been the main problems that the market participants have to face with and handle, including operational risk, credit analysis, price risk and so on. Among these risks, price risk is one of the basic problems according to the centralization location of electricity prices and their great influence on the benefits of the market participants. To solve this problem, our discussion and analysis of electricity price will almost focus on the volatility analysis, which is proposed by wavelet transformation in this paper. According to wavelet analysis, electricity price series is expanded to its wavelet series, which in different scales are orthogonal. And reconstruct price component series give a proper interpretation of the original price, by using which we identify price volatility and analyze on its mechanism. Finally the real data in New South Wales electricity market are applied to test the proposed model.
  • Keywords
    power markets; pricing; risk management; wavelet transforms; electricity market; electricity price volatility analysis; market participants; price component series; price risk; wavelet analysis; wavelet series; wavelet transformation; Costs; Economic forecasting; Electricity supply industry; Mathematical model; Measurement standards; Predictive models; Risk analysis; Risk management; Time measurement; Wavelet analysis; avelet transformation; electricity market; price volatility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523408
  • Filename
    4523408