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 1 2 13 144 1 2 19 221
Beating the naive: Combining LASSO with naive intraday electricity price forecasts 0 0 4 75 0 0 8 115
Distributional neural networks for electricity price forecasting 0 0 2 32 0 1 9 50
Electricity Price Forecasting: The Dawn of Machine Learning 0 3 15 165 3 7 33 326
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 13 46 1 4 22 99
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark 0 0 0 37 0 0 0 72
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models 0 0 3 165 0 0 3 311
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO 0 1 5 53 0 1 7 111
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx 1 2 5 51 2 6 18 113
Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs 0 0 2 43 0 2 6 63
On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting 1 1 5 131 1 1 7 278
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? 0 1 8 155 0 2 12 291
Selection of calibration windows for day-ahead electricity price forecasting 0 1 3 69 1 2 8 99
Trading on short-term path forecasts of intraday electricity prices 2 2 24 135 3 7 39 248
Trading on short-term path forecasts of intraday electricity prices. Part II -- Distributional Deep Neural Networks 3 6 66 66 7 17 112 112
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO 0 1 12 191 1 3 21 335
Total Working Papers 8 21 180 1,558 20 55 324 2,844

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 1 3 27
Distributional neural networks for electricity price forecasting 1 2 9 9 1 5 36 36
Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme 0 0 0 3 0 0 1 14
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark 0 0 2 13 2 5 9 54
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 15
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx 0 1 5 8 1 3 30 41
On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks 0 1 4 18 0 2 9 52
On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting 1 3 6 18 1 4 8 54
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? 0 0 3 16 1 1 7 53
Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting 0 0 0 2 0 0 1 34
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 23
Trading on short-term path forecasts of intraday electricity prices 1 3 24 43 4 6 62 120
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO 0 0 5 28 1 1 12 105
Total Journal Articles 3 10 58 173 11 28 180 640

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 3 27 0 1 13 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 0 4 33 124 4 14 94 360
EPFTOOLBOX: The first open-access PYTHON library for driving research in electricity price forecasting (EPF) 4 6 24 121 10 23 121 578
Total Software Items 4 10 60 272 14 38 228 1,019

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Statistics updated 2024-09-04