Access Statistics for Grzegorz Marcjasz

Author contact details at EconPapers.

Working Paper File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
A note on averaging day-ahead electricity price forecasts across calibration windows 0 2 11 157 0 2 19 247
Beating the naive: Combining LASSO with naive intraday electricity price forecasts 2 2 3 78 3 6 10 125
Distributional neural networks for electricity price forecasting 1 1 3 35 1 3 9 60
Electricity Price Forecasting: The Dawn of Machine Learning 1 1 5 172 1 2 13 342
Erratum to 'Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark' [Appl. Energy 293 (2021) 116983] 0 2 6 52 0 8 25 124
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark 0 1 2 39 0 2 5 77
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models 0 0 2 168 0 1 8 320
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO 0 0 1 54 0 1 3 115
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx 0 0 1 52 1 6 18 131
Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs 0 0 1 44 0 1 3 67
On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting 0 0 1 132 1 1 4 282
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? 0 1 3 158 1 2 12 306
Selection of calibration windows for day-ahead electricity price forecasting 0 0 3 72 0 2 10 110
Trading on short-term path forecasts of intraday electricity prices 1 1 12 148 4 10 32 281
Trading on short-term path forecasts of intraday electricity prices. Part II -- Distributional Deep Neural Networks 5 7 25 92 6 13 65 182
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO 0 0 4 195 0 0 9 344
Total Working Papers 10 18 83 1,648 18 60 245 3,113

Journal Article File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts 0 0 0 8 0 3 3 30
Distributional neural networks for electricity price forecasting 0 1 7 17 0 2 17 56
Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme 0 0 0 3 0 1 1 16
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark 0 0 3 16 2 2 19 74
Importance of the Long-Term Seasonal Component in Day-Ahead Electricity Price Forecasting Revisited: Parameter-Rich Models Estimated via the LASSO 0 0 0 5 0 1 1 17
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx 1 3 9 18 3 8 29 74
On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks 0 1 1 19 0 2 7 59
On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting 0 0 0 18 1 3 7 62
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? 0 0 1 17 0 3 11 64
Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting 0 0 1 3 0 0 3 37
The Hunt Opinion Model—An Agent Based Approach to Recurring Fashion Cycles 0 0 0 1 0 0 0 12
Think then act or act then think? 0 0 0 1 0 0 1 24
Trading on short-term path forecasts of intraday electricity prices 1 2 14 57 2 7 39 161
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO 0 1 3 31 0 3 11 117
Total Journal Articles 2 8 39 214 8 35 149 803

Software Item File Downloads Abstract Views
Last month 3 months 12 months Total Last month 3 months 12 months Total
ENERGIES_14_3249_MATLAB: MATLAB codes for computing combinations of electricity spot price forecasts as utilized in Jedrzejewski et al. (2021) Energies 14, 3249 0 0 2 29 0 4 11 92
ENERGIES_14_3249_PYTHON: Market data and PYTHON codes for computing electricity spot price forecasts using LASSO-estimated AR (LEAR) models as utilized in Jedrzejewski et al. (2021) Energies 14, 3249 0 1 11 136 1 7 36 401
EPFTOOLBOX: The first open-access PYTHON library for driving research in electricity price forecasting (EPF) 2 6 23 146 6 27 104 688
Total Software Items 2 7 36 311 7 38 151 1,181

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Statistics updated 2025-10-06