Bartosz Uniejewski : Citation Profile


Are you Bartosz Uniejewski?

Politechnika Wrocławska

11

H index

11

i10 index

330

Citations

RESEARCH PRODUCTION:

10

Articles

15

Papers

RESEARCH ACTIVITY:

   7 years (2016 - 2023). See details.
   Cites by year: 47
   Journals where Bartosz Uniejewski has often published
   Relations with other researchers
   Recent citing documents: 21.    Total self citations: 21 (5.98 %)

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   Permalink: http://citec.repec.org/pun47
   Updated: 2024-01-16    RAS profile: 2023-04-08    
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Relations with other researchers


Works with:

Weron, Rafał (11)

Marcjasz, Grzegorz (6)

Serafin, Tomasz (4)

Maciejowska, Katarzyna (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 (66)

Nitka, Weronika (23)

Serafin, Tomasz (20)

Weron, Tomasz (15)

Maciejowska, Katarzyna (13)

Janczura, Joanna (7)

Jędrzejewski, Arkadiusz (6)

Grossi, Luigi (5)

Nowotarski, Jakub (3)

Kellard, Neil (3)

Cites to:

Weron, Rafał (262)

Nowotarski, Jakub (98)

Marcjasz, Grzegorz (43)

Maciejowska, Katarzyna (38)

Trueck, Stefan (32)

Misiorek, Adam (31)

Serafin, Tomasz (21)

Paraschiv, Florentina (16)

Hong, Tao (16)

Diebold, Francis (15)

Gianfreda, Angelica (12)

Main data


Where Bartosz Uniejewski has published?


Journals with more than one article published# docs
Energies5
International Journal of Forecasting3
Energy Economics2

Working Papers Series with more than one paper published# docs
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Technology8
Papers / arXiv.org4
WORking papers in Management Science (WORMS) / Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology3

Recent works citing Bartosz Uniejewski (2024 and 2023)


YearTitle of citing document
2023Multivariate 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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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.

Full description at Econpapers || Download paper

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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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).
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paper22
2019Averaging Predictive Distributions Across Calibration Windows for Day-Ahead Electricity Price Forecasting.(2019) In: Energies.
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This paper has nother version. Agregated cites: 22
article
2020Beating the naive: Combining LASSO with naive intraday electricity price forecasts In: WORking papers in Management Science (WORMS).
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paper14
2020Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts.(2020) In: Energies.
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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).
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paper11
2020PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices.(2020) In: Energies.
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This paper has nother version. Agregated cites: 11
article
2022Forecasting Electricity Prices In: Papers.
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paper0
2022LASSO Principal Component Averaging -- a fully automated approach for point forecast pooling In: Papers.
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paper2
2023Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices In: Papers.
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paper3
2023Probabilistic forecasting with Factor Quantile Regression: Application to electricity trading In: Papers.
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paper0
2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting In: Energy Economics.
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article33
2017On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting.(2017) In: HSC Research Reports.
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This paper has nother version. Agregated cites: 33
paper
2021Regularized quantile regression averaging for probabilistic electricity price forecasting In: Energy Economics.
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article20
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: 20
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.
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article35
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
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article52
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: 52
paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
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article22
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: 22
paper
2018Efficient Forecasting of Electricity Spot Prices with Expert and LASSO Models In: Energies.
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article27
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: 27
paper
2016Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies.
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article51
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: 51
paper
2017Variance stabilizing transformations for electricity spot price forecasting In: HSC Research Reports.
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paper30
2017Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models In: HSC Research Reports.
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paper8

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