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 0 14 154 0 0 24 241
Beating the naive: Combining LASSO with naive intraday electricity price forecasts 0 0 1 76 0 0 2 116
Distributional neural networks for electricity price forecasting 0 0 1 33 0 0 7 55
Electricity Price Forecasting: The Dawn of Machine Learning 0 2 10 171 0 4 23 339
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 1 7 50 1 6 23 116
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark 0 0 1 38 0 1 2 74
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models 0 2 5 168 2 5 9 318
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO 1 1 2 54 2 2 4 114
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx 0 0 3 52 1 3 16 122
Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs 0 0 0 43 0 0 4 65
On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting 0 0 1 131 0 0 3 280
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? 0 1 4 157 1 2 13 301
Selection of calibration windows for day-ahead electricity price forecasting 0 0 3 71 1 3 9 106
Trading on short-term path forecasts of intraday electricity prices 1 3 16 147 3 7 30 268
Trading on short-term path forecasts of intraday electricity prices. Part II -- Distributional Deep Neural Networks 2 8 27 83 3 16 71 157
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO 1 2 4 194 1 4 12 343
Total Working Papers 5 20 99 1,622 15 53 252 3,015

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 0 2 27
Distributional neural networks for electricity price forecasting 1 3 10 16 1 7 26 50
Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme 0 0 0 3 0 0 1 15
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark 0 1 2 15 0 4 17 66
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 0 1 16
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx 1 4 8 14 4 10 27 63
On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks 0 0 2 18 0 2 8 57
On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting 0 0 3 18 0 2 10 59
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? 0 1 2 17 0 2 6 57
Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting 0 0 0 2 0 0 2 36
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 2 14 52 1 7 38 146
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO 0 1 2 29 0 1 7 110
Total Journal Articles 2 12 43 199 6 35 146 738

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 28 1 5 8 86
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 4 17 134 4 10 51 392
EPFTOOLBOX: The first open-access PYTHON library for driving research in electricity price forecasting (EPF) 0 5 25 140 6 21 104 651
Total Software Items 1 10 44 302 11 36 163 1,129

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Statistics updated 2025-05-12