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Grzegorz Marcjasz
Grzegorz Marcjasz
Wrocław University of Science and Technology
Verified email at student.pwr.wroc.pl
Title
Cited by
Cited by
Year
On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks
G Marcjasz, B Uniejewski, R Weron
International Journal of Forecasting 35 (4), 1520-1532, 2019
1042019
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO
B Uniejewski, G Marcjasz, R Weron
International Journal of Forecasting 35 (4), 1533-1547, 2019
762019
A note on averaging day-ahead electricity price forecasts across calibration windows
K Hubicka, G Marcjasz, R Weron
IEEE Transactions on Sustainable Energy 10 (1), 321-323, 2018
612018
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
J Lago, G Marcjasz, B De Schutter, R Weron
Applied Energy 293, 116983, 2021
482021
Selection of calibration windows for day-ahead electricity price forecasting
G Marcjasz, T Serafin, R Weron
Energies 11 (9), 2364, 2018
422018
On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II—Probabilistic forecasting
B Uniejewski, G Marcjasz, R Weron
Energy Economics 79, 171-182, 2019
392019
Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?
G Marcjasz, B Uniejewski, R Weron
International Journal of Forecasting 36 (2), 466-479, 2020
252020
Beating the Na´ve—Combining LASSO with Na´ve Intraday Electricity Price Forecasts
G Marcjasz, B Uniejewski, R Weron
Energies 13 (7), 1667, 2020
212020
Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme
G Marcjasz
Energies 13 (18), 4605, 2020
132020
Think then act or act then think?
A Jędrzejewski, G Marcjasz, PR Nail, K Sznajd-Weron
PloS one 13 (11), e0206166, 2018
92018
Think then act or act then think?
A Jędrzejewski, G Marcjasz, PR Nail, K Sznajd-Weron
PloS one 13 (11), e0206166, 2018
92018
The Hunt Opinion Model—An Agent Based Approach to Recurring Fashion Cycles
R Apriasz, T Krueger, G Marcjasz, K Sznajd-Weron
PloS one 11 (11), e0166323, 2016
92016
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx
KG Olivares, C Challu, G Marcjasz, R Weron, A Dubrawski
arXiv preprint arXiv:2104.05522, 2021
72021
Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs
G Marcjasz, J Lago, R Weron
arXiv preprint arXiv:2008.08006, 2020
52020
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO
A Jędrzejewski, G Marcjasz, R Weron
Energies 14 (11), 3249, 2021
42021
Phase Transitions in the Kinetic Ising Model on the Temporal Directed Random Regular Graph
G Marcjasz, K Sznajd-Weron
Frontiers in Physics 5, 24, 2017
42017
Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models
G Marcjasz, B Uniejewski, R Weron
HSC Research Reports, 2017
22017
Electricity Price Forecasting: The Dawn of Machine Learning
A Jędrzejewski, J Lago, G Marcjasz, R Weron
IEEE Power and Energy Magazine 20 (3), 24-31, 2022
12022
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]
J Lago, G Marcjasz, B De Schutter, R Weron
WORking papers in Management Science (WORMS), 2021
12021
Electricity Price Forecasting: The Dawn of Machine Learning
A Jk, J Lago, G Marcjasz
arXiv. org Papers, 2022
2022
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