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SCAR_EXAMPLE: MATLAB codes and data for "On the importance of the long-term seasonal component in day-ahead electricity price forecasting"


  • Jakub Nowotarski
  • Rafal Weron


This Matlab script illustrates the concepts and methods presented in J. Nowotarski, R. Weron (2016) "On the importance of the long-term seasonal component in day-ahead electricity price forecasting", Energy Economics 57, 228-235 ( and together with the accompanying codes and data files can be used to replicate the Figures and Tables in the text. To obtain all entries in Table 1, change arxFlag, seasFlag and smoothing parameters. The function scar.m can be used to calibrate both the newly introduced Seasonal Component AutoRegressive class of models (SCAR, SCARX), as well as the classical AR and ARX models. The zip file includes one script (main.m), one m-file (scar.m) and three data files.

Suggested Citation

  • Jakub Nowotarski & Rafal Weron, 2016. "SCAR_EXAMPLE: MATLAB codes and data for "On the importance of the long-term seasonal component in day-ahead electricity price forecasting"," HSC Software ZIP16002, Hugo Steinhaus Center, Wroclaw University of Technology.
  • Handle: RePEc:wuu:hscode:zip16002

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    Blog mentions

    As found by, the blog aggregator for Economics research:
    1. The stock market and happiness
      by UDADISI in UDADISI on 2012-08-01 23:55:00


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    Cited by:

    1. Tonzer, Lena, 2017. "Uncertainty, financial crises, and subjective well-being," IWH Discussion Papers 2/2017, Halle Institute for Economic Research (IWH).
    2. Anita Ratcliffe & Karl Taylor, 2013. "Who Cares about Stock Market Booms and Busts? Evidence from Data on Mental Wellbeing," Working Papers 2012021, The University of Sheffield, Department of Economics.
    3. Frijters, Paul & Johnston, David W. & Shields, Michael A. & Sinha, Kompal, 2015. "A lifecycle perspective of stock market performance and wellbeing," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 237-250.


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