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 2 3 14 157 2 6 27 247
Beating the naive: Combining LASSO with naive intraday electricity price forecasts 0 0 1 76 3 6 7 122
Distributional neural networks for electricity price forecasting 0 1 2 34 1 3 8 58
Electricity Price Forecasting: The Dawn of Machine Learning 0 0 6 171 1 2 18 341
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] 1 1 5 51 5 5 23 121
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark 0 0 1 38 1 2 4 76
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models 0 0 3 168 0 1 8 319
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 1 1 4 115
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx 0 0 2 52 3 6 17 128
Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs 0 1 1 44 1 2 4 67
On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting 0 1 2 132 0 1 4 281
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? 0 0 2 157 0 3 13 304
Selection of calibration windows for day-ahead electricity price forecasting 0 1 3 72 0 2 10 108
Trading on short-term path forecasts of intraday electricity prices 0 0 14 147 0 3 26 271
Trading on short-term path forecasts of intraday electricity prices. Part II -- Distributional Deep Neural Networks 1 3 23 86 5 17 69 174
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO 0 1 4 195 0 1 10 344
Total Working Papers 4 12 84 1,634 23 61 252 3,076

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 2 2 2 29
Distributional neural networks for electricity price forecasting 1 1 9 17 2 6 21 56
Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme 0 0 0 3 1 1 2 16
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark 0 1 3 16 0 6 20 72
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 1 1 2 17
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx 1 2 8 16 2 5 28 68
On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks 0 0 0 18 1 1 6 58
On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting 0 0 1 18 2 2 8 61
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? 0 0 1 17 2 6 11 63
Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting 0 1 1 3 0 1 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 0 3 13 55 1 9 39 155
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO 1 2 3 31 2 6 12 116
Total Journal Articles 3 10 39 209 16 46 155 784

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 1 2 29 4 6 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 1 2 12 136 6 8 44 400
EPFTOOLBOX: The first open-access PYTHON library for driving research in electricity price forecasting (EPF) 3 3 26 143 15 25 108 676
Total Software Items 4 6 40 308 25 39 163 1,168

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Statistics updated 2025-08-05