11
H index
11
i10 index
343
Citations
Bartosz Uniejewski : Citation Profile
Politechnika Wrocławska | RESEARCH PRODUCTION: 10 Articles 15 Papers RESEARCH ACTIVITY:
MORE DETAILS IN: ABOUT THIS REPORT:
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8 years (2016 - 2024). Relations with other researchers
Works with:
Authors registered in RePEc who have co-authored more than one work in the last five years with Bartosz Uniejewski. | Is cited by:
| Cites to:
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Main data
Where Bartosz Uniejewski has published?
| Journals with more than one article published | # docs |
|---|---|
| Energies | 5 |
| International Journal of Forecasting | 3 |
| Energy Economics | 2 |
| Working Papers Series with more than one paper published | # docs |
|---|---|
| HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Technology | 8 |
| Papers / arXiv.org | 4 |
| WORking papers in Management Science (WORMS) / Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology | 3 |
Recent works citing Bartosz Uniejewski (2024 and 2023)
| Year | Title of citing document |
|---|---|
| 2024 | Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Papers. RePEc:arx:papers:2303.10019. Full description at Econpapers || Download paper |
| 2023 | A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling. (2023). Musgens, Felix ; Grothe, Oliver ; Mobius, Thomas ; Watermeyer, Mira. In: Papers. RePEc:arx:papers:2304.09336. Full description at Econpapers || Download paper |
| 2023 | Multivariate Simulation-based Forecasting for Intraday Power Markets: Modelling Cross-Product Price Effects. (2023). Ziel, Florian ; Hirsch, Simon. In: Papers. RePEc:arx:papers:2306.13419. Full description at Econpapers || Download paper |
| 2023 | Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?. (2023). Weron, Rafal ; Nitka, Weronika. In: Papers. RePEc:arx:papers:2308.15443. Full description at Econpapers || Download paper |
| 2023 | Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867. Full description at Econpapers || Download paper |
| 2023 | Multivariate probabilistic forecasting of intraday electricity prices using normalizing flows. (2023). Dahmen, Manuel ; Mitsos, Alexander ; Witthaut, Dirk ; Cramer, Eike. In: Applied Energy. RePEc:eee:appene:v:346:y:2023:i:c:s0306261923007341. Full description at Econpapers || Download paper |
| 2023 | Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme. (2023). Huang, Xiaojia ; Wang, Jianzhou ; Nie, Ying ; Jiang, Ping. In: Energy Economics. RePEc:eee:eneeco:v:117:y:2023:i:c:s0140988322006004. Full description at Econpapers || Download paper |
| 2023 | From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2023). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Energy Economics. RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323001007. Full description at Econpapers || Download paper |
| 2023 | Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network. (2023). ben Jabeur, Sami ; Saadaoui, Foued. In: Energy Economics. RePEc:eee:eneeco:v:124:y:2023:i:c:s0140988323002918. Full description at Econpapers || Download paper |
| 2023 | Distributional neural networks for electricity price forecasting. (2023). Weron, RafaÅ ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419. Full description at Econpapers || Download paper |
| 2023 | Forecasting electricity prices with expert, linear, and nonlinear models. (2023). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:570-586. Full description at Econpapers || Download paper |
| 2023 | Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. (2023). Weron, RafaÅ ; Dubrawski, Artur ; Marcjasz, Grzegorz ; Challu, Cristian ; Olivares, Kin G. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:884-900. Full description at Econpapers || Download paper |
| 2023 | LASSO principal component averaging: A fully automated approach for point forecast pooling. (2023). Maciejowska, Katarzyna ; Uniejewski, Bartosz. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1839-1852. Full description at Econpapers || Download paper |
| 2023 | Cloning mutual fund returns. (2023). Niemann, Sebastian ; Schuhmacher, Frank ; Auer, Benjamin R. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:90:y:2023:i:c:p:31-37. Full description at Econpapers || Download paper |
| 2023 | Electricity Day-Ahead Market Conditions and Their Effect on the Different Supervised Algorithms for Market Price Forecasting. (2023). Georghiou, George E ; Kyprianou, Andreas ; Theocharides, Spyros ; Konstantinidis, Georgios ; Loizidis, Stylianos. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:12:p:4617-:d:1167834. Full description at Econpapers || Download paper |
| 2023 | ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity MarketsâVariance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation. (2023). Janczura, Joanna ; Pu, Andrzej. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:2:p:807-:d:1031193. Full description at Econpapers || Download paper |
| 2023 | A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes. (2023). Quashie, Mike ; Zareipour, Hamidreza ; Lopez, Manuel Zamudio ; Jaimes, Daniel Manfre. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:3:p:28-521:d:1197273. Full description at Econpapers || Download paper |
| 2023 | Sparse regression modeling for short- and long?term natural gas demand prediction. (2023). Ozmen, Aye. In: Annals of Operations Research. RePEc:spr:annopr:v:322:y:2023:i:2:d:10.1007_s10479-021-04089-x. Full description at Econpapers || Download paper |
Works by Bartosz Uniejewski:
| Year | Title | Type | Cited |
|---|---|---|---|
| 2019 | Averaging predictive distributions across calibration windows for day-ahead electricity price forecasting In: WORking papers in Management Science (WORMS). [Full Text][Citation analysis] | paper | 24 |
| 2019 | Averaging Predictive Distributions Across Calibration Windows for Day-Ahead Electricity Price Forecasting.(2019) In: Energies. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 24 | article | |
| 2020 | Beating the naive: Combining LASSO with naive intraday electricity price forecasts In: WORking papers in Management Science (WORMS). [Full Text][Citation analysis] | paper | 14 |
| 2020 | Beating the NaïveâCombining LASSO with Naïve Intraday Electricity Price Forecasts.(2020) In: Energies. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 14 | article | |
| 2020 | PCA forecast averaging - predicting day-ahead and intraday electricity prices In: WORking papers in Management Science (WORMS). [Full Text][Citation analysis] | paper | 12 |
| 2020 | PCA Forecast AveragingâPredicting Day-Ahead and Intraday Electricity Prices.(2020) In: Energies. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 12 | article | |
| 2022 | Forecasting Electricity Prices In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2022 | LASSO Principal Component Averaging -- a fully automated approach for point forecast pooling In: Papers. [Full Text][Citation analysis] | paper | 2 |
| 2024 | Electricity price forecasting with Smoothing Quantile Regression Averaging: Quantifying economic benefits of probabilistic forecasts In: Papers. [Full Text][Citation analysis] | paper | 4 |
| 2023 | Probabilistic forecasting with Factor Quantile Regression: Application to electricity trading In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2019 | On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II â Probabilistic forecasting In: Energy Economics. [Full Text][Citation analysis] | article | 34 |
| 2017 | On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II ââ¬â Probabilistic forecasting.(2017) In: HSC Research Reports. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 34 | paper | |
| 2021 | Regularized quantile regression averaging for probabilistic electricity price forecasting In: Energy Economics. [Full Text][Citation analysis] | article | 21 |
| 2019 | Regularized Quantile Regression Averaging for probabilistic electricity price forecasting.(2019) In: HSC Research Reports. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 21 | paper | |
| 2019 | On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks In: International Journal of Forecasting. [Full Text][Citation analysis] | article | 36 |
| 2019 | Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting. [Full Text][Citation analysis] | article | 52 |
| 2018 | Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO.(2018) In: HSC Research Reports. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 52 | paper | |
| 2020 | Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting. [Full Text][Citation analysis] | article | 23 |
| 2018 | Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?.(2018) In: HSC Research Reports. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 23 | paper | |
| 2018 | Efficient Forecasting of Electricity Spot Prices with Expert and LASSO Models In: Energies. [Full Text][Citation analysis] | article | 28 |
| 2018 | Efficient forecasting of electricity spot prices with expert and LASSO models.(2018) In: HSC Research Reports. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 28 | paper | |
| 2016 | Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies. [Full Text][Citation analysis] | article | 54 |
| 2016 | Automated variable selection and shrinkage for day-ahead electricity price forecasting.(2016) In: HSC Research Reports. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 54 | paper | |
| 2017 | Variance stabilizing transformations for electricity spot price forecasting In: HSC Research Reports. [Full Text][Citation analysis] | paper | 31 |
| 2017 | Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models In: HSC Research Reports. [Full Text][Citation analysis] | paper | 8 |
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