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 7 18 154 3 10 29 241
Beating the naive: Combining LASSO with naive intraday electricity price forecasts 0 1 4 76 0 1 6 116
Distributional neural networks for electricity price forecasting 0 1 1 33 1 2 9 55
Electricity Price Forecasting: The Dawn of Machine Learning 1 2 12 169 1 6 28 335
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 8 49 5 9 21 110
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark 1 1 1 38 1 1 1 73
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models 0 0 4 166 0 1 5 313
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO 0 0 3 53 0 0 5 112
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx 0 1 3 52 0 5 18 119
Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs 0 0 1 43 0 0 5 65
On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting 0 0 2 131 1 2 4 280
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? 0 0 7 156 3 4 17 299
Selection of calibration windows for day-ahead electricity price forecasting 0 1 3 71 0 2 8 103
Trading on short-term path forecasts of intraday electricity prices 1 6 19 144 3 9 33 261
Trading on short-term path forecasts of intraday electricity prices. Part II -- Distributional Deep Neural Networks 3 4 37 75 6 11 88 141
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO 0 1 5 192 1 4 13 339
Total Working Papers 8 27 128 1,602 25 67 290 2,962

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 0 2 9 13 0 3 29 43
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 1 1 2 14 4 7 14 62
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 0 0 4 10 0 4 23 53
On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks 0 0 3 18 0 2 10 55
On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting 0 0 3 18 0 1 8 57
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? 0 0 3 16 0 1 6 55
Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting 0 0 0 2 1 2 3 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 1 3 20 50 3 10 52 139
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO 0 0 3 28 1 2 10 109
Total Journal Articles 2 6 47 187 9 32 160 703

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 1 27 0 0 7 81
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 1 21 130 4 11 59 382
EPFTOOLBOX: The first open-access PYTHON library for driving research in electricity price forecasting (EPF) 4 9 25 135 9 37 114 630
Total Software Items 5 10 47 292 13 48 180 1,093

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Statistics updated 2025-02-05