Bartosz Uniejewski : Citation Profile

Are you Bartosz Uniejewski?

Politechnika Wrocławska

11

H index

11

i10 index

366

Citations

RESEARCH PRODUCTION:

11

Articles

18

Papers

RESEARCH ACTIVITY:

   8 years (2016 - 2024). See details.
   Cites by year: 45
   Journals where Bartosz Uniejewski has often published
   Relations with other researchers
   Recent citing documents: 54.    Total self citations: 24 (6.15 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pun47
   Updated: 2024-12-03    RAS profile: 2024-10-23    
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Relations with other researchers

Works with:

Weron, Rafał (13)

Marcjasz, Grzegorz (6)

Maciejowska, Katarzyna (4)

Serafin, Tomasz (4)

Authors registered in RePEc who have co-authored more than one work in the last five years with Bartosz Uniejewski.

Is cited by:

Weron, Rafał (91)

Marcjasz, Grzegorz (73)

Nitka, Weronika (24)

Serafin, Tomasz (20)

Weron, Tomasz (15)

Maciejowska, Katarzyna (13)

Jędrzejewski, Arkadiusz (12)

Janczura, Joanna (7)

Grossi, Luigi (5)

Gianfreda, Angelica (4)

Bertsch, Valentin (3)

Cites to:

Weron, Rafał (276)

Nowotarski, Jakub (101)

Marcjasz, Grzegorz (46)

Maciejowska, Katarzyna (39)

Trueck, Stefan (33)

Misiorek, Adam (31)

Serafin, Tomasz (22)

Hong, Tao (16)

Paraschiv, Florentina (16)

Diebold, Francis (15)

Lisi, Francesco (12)

Main data

Where Bartosz Uniejewski has published?

Journals with more than one article published# docs
Energies5
International Journal of Forecasting4
Energy Economics2

Working Papers Series with more than one paper published# docs
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Science and Technology8
Papers / arXiv.org6
WORking papers in Management Science (WORMS) / Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology4

Recent works citing Bartosz Uniejewski (2024 and 2023)

YearTitle of citing document
2024Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Papers. RePEc:arx:papers:2303.10019.

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2023A 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.

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2023Multivariate Simulation-based Forecasting for Intraday Power Markets: Modelling Cross-Product Price Effects. (2023). Ziel, Florian ; Hirsch, Simon. In: Papers. RePEc:arx:papers:2306.13419.

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2023Combining 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.

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2023Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867.

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2023Multivariate 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.

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2024Building plug load mode detection, forecasting and scheduling. (2024). Fu, Xiaohan ; Lago, Jesus ; Botman, Lola ; de Moor, Bart ; Kleissl, Jan ; Wolf, Jesse ; Chia, Keaton. In: Applied Energy. RePEc:eee:appene:v:364:y:2024:i:c:s0306261924004811.

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2024A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism. (2024). Zhang, Lifang ; Wang, Jianzhou ; Li, Ping ; Nie, Ying. In: Applied Energy. RePEc:eee:appene:v:366:y:2024:i:c:s0306261924006160.

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2023CRPS learning. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Journal of Econometrics. RePEc:eee:econom:v:237:y:2023:i:2:s0304407621002724.

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2023Multivariable 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.

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2023From 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.

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2023Analyzing 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.

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2023Distributional neural networks for electricity price forecasting. (2023). Weron, Rafał ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419.

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2023Energy poverty prediction and effective targeting for just transitions with machine learning. (2023). Spandagos, Constantine ; Tovar, Miguel Angel ; Lynch, Muireann A. In: Energy Economics. RePEc:eee:eneeco:v:128:y:2023:i:c:s0140988323006291.

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2024Toward high-resolution projection of electricity prices: A machine learning approach to quantifying the effects of high fuel and CO2 prices. (2024). Ikonnikova, Svetlana ; Madadkhani, Shiva. In: Energy Economics. RePEc:eee:eneeco:v:129:y:2024:i:c:s0140988323007399.

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2024Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method. (2024). Movahedi, Akram ; Amiri, Hossein ; Monjazeb, Mohammad Reza. In: Energy. RePEc:eee:energy:v:290:y:2024:i:c:s0360544223033194.

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2023Forecasting 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.

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2023Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. (2023). Weron, Rafał ; 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.

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2023Cloning 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.

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2023Electricity 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.

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2023ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity Markets—Variance 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.

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2023A 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.

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2023Sparse 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.

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Works by Bartosz Uniejewski:

YearTitleTypeCited
2019Averaging predictive distributions across calibration windows for day-ahead electricity price forecasting In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper24
2019Averaging 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
2020Beating the naive: Combining LASSO with naive intraday electricity price forecasts In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper14
2020Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts.(2020) In: Energies.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 14		article
2020PCA forecast averaging - predicting day-ahead and intraday electricity prices In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper14
2020PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices.(2020) In: Energies.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 14		article
2024Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper0
2022Forecasting Electricity Prices In: Papers.
[Full Text][Citation analysis]		paper2
2022LASSO Principal Component Averaging -- a fully automated approach for point forecast pooling In: Papers.
[Full Text][Citation analysis]		paper4
2023LASSO principal component averaging: A fully automated approach for point forecast pooling.(2023) In: International Journal of Forecasting.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 4		article
2024Electricity price forecasting with Smoothing Quantile Regression Averaging: Quantifying economic benefits of probabilistic forecasts In: Papers.
[Full Text][Citation analysis]		paper4
2023Probabilistic forecasting with Factor Quantile Regression: Application to electricity trading In: Papers.
[Full Text][Citation analysis]		paper0
2024Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression In: Papers.
[Full Text][Citation analysis]		paper0
2024Regularization for electricity price forecasting In: Papers.
[Full Text][Citation analysis]		paper0
2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting In: Energy Economics.
[Full Text][Citation analysis]		article34
2017On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting.(2017) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 34		paper
2021Regularized quantile regression averaging for probabilistic electricity price forecasting In: Energy Economics.
[Full Text][Citation analysis]		article26
2019Regularized Quantile Regression Averaging for probabilistic electricity price forecasting.(2019) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 26		paper
2019On 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]		article36
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
[Full Text][Citation analysis]		article54
2018Understanding 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: 54		paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
[Full Text][Citation analysis]		article27
2018Probabilistic 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: 27		paper
2018Efficient Forecasting of Electricity Spot Prices with Expert and LASSO Models In: Energies.
[Full Text][Citation analysis]		article29
2018Efficient 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: 29		paper
2016Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies.
[Full Text][Citation analysis]		article56
2016Automated 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: 56		paper
2017Variance stabilizing transformations for electricity spot price forecasting In: HSC Research Reports.
[Full Text][Citation analysis]		paper34
2017Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models In: HSC Research Reports.
[Full Text][Citation analysis]		paper8

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