• DocumentCode
    3149538
  • Title

    Spikes, antispikes and thresholds in electricity logprices

  • Author

    Lucheroni, Carlo

  • Author_Institution
    Sch. of Sci. & Technol., Univ. of Camerino, Camerino, Italy
  • fYear
    2013
  • fDate
    27-31 May 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    An interesting feature of some electricity logprice series is that they display daytime upward spikes and nighttime downward spikes. This paper will show that this phenomenology implies that the underlying data generating mechanism involves an implicit threshold behavior, and consequently that threshold stochastic dynamic models can be well suited to study this kind of series. As a worked out example, a specific four-threshold TARX model will be applied to AESO power market data.
  • Keywords
    power markets; stochastic processes; AESO power market data; TARX model; data generating mechanism; daytime upward spike; electricity logprice series; electricity market economics; nighttime downward spike; phenomenology; threshold stochastic dynamic model; Biological system modeling; Calibration; Correlation; Data models; Electricity; Mathematical model; Predictive models; Stochastic processes; electricity market economics; nonlinear time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2013 10th International Conference on the
  • Conference_Location
    Stockholm
  • Type

    conf

  • DOI
    10.1109/EEM.2013.6607379
  • Filename
    6607379