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Details about Grzegorz Marcjasz

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Workplace:Katedra Badań Operacyjnych i Inteligencji Biznesowej (Department of Operations Research and Business Intelligence), Politechnika Wrocławska (Wroclaw University of Science and Technology), (more information at EDIRC)

Access statistics for papers by Grzegorz Marcjasz.

Last updated 2020-02-27. Update your information in the RePEc Author Service.

Short-id: pma2533


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Working Papers

2020

  1. Beating the naive: Combining LASSO with naive intraday electricity price forecasts
    WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology Downloads

2018

  1. A note on averaging day-ahead electricity price forecasts across calibration windows
    HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Technology Downloads View citations (6)
  2. Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?
    HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Technology Downloads View citations (2)
  3. Selection of calibration windows for day-ahead electricity price forecasting
    HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Technology Downloads View citations (9)
    See also Journal Article in Energies (2018)
  4. Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO
    HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Technology Downloads View citations (4)
    See also Journal Article in International Journal of Forecasting (2019)

2017

  1. Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models
    HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Technology Downloads View citations (11)
  2. On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting
    HSC Research Reports, Hugo Steinhaus Center, Wroclaw University of Technology Downloads View citations (15)
    See also Journal Article in Energy Economics (2019)

Journal Articles

2019

  1. On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks
    International Journal of Forecasting, 2019, 35, (4), 1520-1532 Downloads View citations (1)
  2. On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting
    Energy Economics, 2019, 79, (C), 171-182 Downloads View citations (4)
    See also Working Paper (2017)
  3. Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO
    International Journal of Forecasting, 2019, 35, (4), 1533-1547 Downloads View citations (10)
    See also Working Paper (2018)

2018

  1. Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting
    Energies, 2018, 11, (9), 1-20 Downloads View citations (9)
    See also Working Paper (2018)
  2. Think then act or act then think?
    PLOS ONE, 2018, 13, (11), 1-19 Downloads

2016

  1. The Hunt Opinion Model—An Agent Based Approach to Recurring Fashion Cycles
    PLOS ONE, 2016, 11, (11), 1-19 Downloads
 
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