Bartosz Uniejewski : Citation Profile

Politechnika Wrocławska

11

H index

11

i10 index

449

Citations

RESEARCH PRODUCTION:

13

Articles

19

Papers

RESEARCH ACTIVITY:

   8 years (2016 - 2024). See details.
   Cites by year: 56
   Journals where Bartosz Uniejewski has often published
   Relations with other researchers
   Recent citing documents: 54.    Total self citations: 27 (5.67 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pun47
   Updated: 2025-12-20    RAS profile: 2024-10-23    
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Relations with other researchers

Works with:

Weron, Rafał (8)

Maciejowska, Katarzyna (4)

Marcjasz, Grzegorz (3)

Lipiecki, Arkadiusz (2)

Serafin, Tomasz (2)

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 (102)

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)

Russo, Marianna (3)

Cites to:

Weron, Rafał (280)

Nowotarski, Jakub (102)

Marcjasz, Grzegorz (48)

Maciejowska, Katarzyna (39)

Trueck, Stefan (33)

Misiorek, Adam (31)

Serafin, Tomasz (22)

Paraschiv, Florentina (16)

Hong, Tao (16)

Diebold, Francis (15)

Nitka, Weronika (12)

Main data

Where Bartosz Uniejewski has published?

Journals with more than one article published# docs
Energies5
International Journal of Forecasting4
Energy Economics3

Working Papers Series with more than one paper published# docs
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Science and Technology8
Papers / arXiv.org7
WORking papers in Management Science (WORMS) / Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology4

Recent works citing Bartosz Uniejewski (2025 and 2024)

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

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2025Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Baruník, Jozef ; Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867.

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2024Revisiting Day-ahead Electricity Price: Simple Model Save Millions. (2024). Wang, Linian ; Liu, Jianghong ; Zhang, Huibing ; Yu, Anlan. In: Papers. RePEc:arx:papers:2405.14893.

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2024From day-ahead to mid and long-term horizons with econometric electricity price forecasting models. (2024). Ghelasi, Paul ; Ziel, Florian. In: Papers. RePEc:arx:papers:2406.00326.

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2024Multiple split approach -- multidimensional probabilistic forecasting of electricity markets. (2024). Nitka, Weronika ; Maciejowska, Katarzyna. In: Papers. RePEc:arx:papers:2407.07795.

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2025Online Distributional Regression. (2024). Hirsch, Simon ; Berrisch, Jonathan ; Ziel, Florian. In: Papers. RePEc:arx:papers:2407.08750.

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2024Bridging an energy system model with an ensemble deep-learning approach for electricity price forecasting. (2024). Musgens, Felix ; Mobius, Thomas ; ben Amor, Souhir. In: Papers. RePEc:arx:papers:2411.04880.

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2025A data-driven merit order: Learning a fundamental electricity price model. (2025). Ghelasi, Paul ; Ziel, Florian. In: Papers. RePEc:arx:papers:2501.02963.

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2025OrderFusion: Encoding Orderbook for Probabilistic Intraday Price Prediction. (2025). Yu, Runyao ; Leimgruber, Fabian ; Tao, Yuchen ; Cremer, Jochen L ; Esterl, Tara. In: Papers. RePEc:arx:papers:2502.06830.

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2025Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market. (2025). Chke, Katarzyna ; Uniejewski, Bartosz ; Weron, Rafal. In: Papers. RePEc:arx:papers:2503.02518.

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2025Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting. (2025). Hirsch, Simon. In: Papers. RePEc:arx:papers:2504.02518.

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2025Isotonic Quantile Regression Averaging for uncertainty quantification of electricity price forecasts. (2025). Lipiecki, Arkadiusz ; Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2507.15079.

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2025Directional Price Forecasting in the Continuous Intraday Market under Consideration of Neighboring Products and Limit Order Books. (2025). Hornek, Timoth'Ee ; Pavi, Ivan ; Menci, Sergio Potenciano. In: Papers. RePEc:arx:papers:2509.04452.

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2025Driver Identification and PCA Augmented Selection Shrinkage Framework for Nordic System Price Forecasting. (2025). Sadabad, Yousef Adeli ; Hesamzadeh, Mohammad Reza ; Bagherpour, Matin ; Dan, Gyorgy ; Biggar, Darryl R. In: Papers. RePEc:arx:papers:2509.18887.

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2025Joint Bidding on Intraday and Frequency Containment Reserve Markets. (2025). Wozabal, David ; Ridinger, Wolfgang ; Zhang, Yiming. In: Papers. RePEc:arx:papers:2510.03209.

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2025The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets. (2025). O'Connor, Ciaran ; Bahloul, Mohamed ; Visentin, Andrea ; Prestwich, Steven. In: Papers. RePEc:arx:papers:2511.05523.

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2025Statistical and economic evaluation of forecasts in electricity markets: beyond RMSE and MAE. (2025). Lipiecki, Arkadiusz ; Maciejowska, Katarzyna ; Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2511.13616.

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2025Forecasting the Impact of Extreme Weather Events on Electricity Prices in Italy: A GARCH-MIDAS Approach with Enhanced Variable Selection. (2025). Riso, Luigi ; Zoia, Maria Grazia ; Guerzoni, Marco. In: DISCE - Working Papers del Dipartimento di Politica Economica. RePEc:ctc:serie5:dipe0043.

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2024Building plug load mode detection, forecasting and scheduling. (2024). Botman, Lola ; Chia, Keaton ; Lago, Jesus ; Wolf, Jesse ; Kleissl, Jan ; de Moor, Bart ; Fu, Xiaohan. 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). Nie, Ying ; Li, Ping ; Zhang, Lifang ; Wang, Jianzhou. In: Applied Energy. RePEc:eee:appene:v:366:y:2024:i:c:s0306261924006160.

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2024Multivariate scenario generation of day-ahead electricity prices using normalizing flows. (2024). Dahmen, Manuel ; Gorjo, Leonardo Rydin ; Trebbien, Julius ; Hilger, Hannes ; Cramer, Eike ; Witthaut, Dirk. In: Applied Energy. RePEc:eee:appene:v:367:y:2024:i:c:s030626192400624x.

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2024Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach. (2024). Salcedo-Sanz, Sancho ; Deo, Ravinesh C ; Acharya, Rajendra U ; Barua, Prabal Datta ; Sharma, Ekta ; Casillas-Perez, David ; Ghimire, Sujan. In: Applied Energy. RePEc:eee:appene:v:374:y:2024:i:c:s0306261924013035.

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2025Bayesian hierarchical probabilistic forecasting of intraday electricity prices. (2025). Mller, Gernot ; Nickelsen, Daniel. In: Applied Energy. RePEc:eee:appene:v:380:y:2025:i:c:s0306261924023596.

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2025A global probabilistic approach for short-term forecasting of individual households electricity consumption. (2025). Vanthournout, Koen ; de Moor, Bart ; Becker, Thijs ; Lago, Jesus ; Botman, Lola. In: Applied Energy. RePEc:eee:appene:v:382:y:2025:i:c:s0306261924025522.

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2025Enhancing electricity price forecasting accuracy: A novel filtering strategy for improved out-of-sample predictions. (2025). Cerasa, Andrea ; Zani, Alessandro. In: Applied Energy. RePEc:eee:appene:v:383:y:2025:i:c:s030626192500087x.

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2025Integrating PNN classification and ELM-Bootstrap for enhanced Day-Ahead negative price forecasting. (2025). Loizidis, Stylianos ; Venizelou, Venizelos ; Kyprianou, Andreas ; Georghiou, George E. In: Applied Energy. RePEc:eee:appene:v:392:y:2025:i:c:s0306261925007433.

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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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2025Multivariate probabilistic forecasting of electricity prices with trading applications. (2025). Petukhina, Alla ; Kozmik, Karel ; Kopa, Milos ; Hrdle, Wolfgang Karl ; Agakishiev, Ilyas. In: Energy Economics. RePEc:eee:eneeco:v:141:y:2025:i:c:s0140988324007163.

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2025Financial risk management innovation in energy market: Evidence from a machine learning hybrid model. (2025). Lu, Xinjie ; Ma, Feng ; Li, Zepei. In: Energy Economics. RePEc:eee:eneeco:v:144:y:2025:i:c:s0140988325001847.

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2025Loss functions in regression models: Impact on profits and risk in day-ahead electricity trading. (2025). Weron, Rafał ; Serafin, Tomasz. In: Energy Economics. RePEc:eee:eneeco:v:148:y:2025:i:c:s0140988325004207.

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

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2025Methane emissions forecasting in American energy sector based on a grey jump modeling framework. (2025). Shi, Kaihe ; Gu, Haolei. In: Energy. RePEc:eee:energy:v:331:y:2025:i:c:s0360544225027409.

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2024Forecasting day-ahead electricity prices with spatial dependence. (2024). Li, YI ; Yang, Yifan ; Guo, Jue ; Zhou, Jiandong. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:3:p:1255-1270.

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2024A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market. (2024). Dinh, Nam Trong ; Cornell, Cameron ; Pourmousavi, Ali S. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1421-1437.

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2024Multivariate probabilistic CRPS learning with an application to day-ahead electricity prices. (2024). Berrisch, Jonathan ; Ziel, Florian. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1568-1586.

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2025Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market. (2025). Weron, Rafa ; Uniejewski, Bartosz ; Che, Katarzyna. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:37:y:2025:i:c:s2405851324000680.

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2024Merit-order of dispatchable and variable renewable energy sources in Turkeys day-ahead electricity market. (2024). Yucel, Oyku ; Gokgoz, Fazil. In: Utilities Policy. RePEc:eee:juipol:v:88:y:2024:i:c:s0957178724000511.

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2025Short-term electricity price forecasting through demand and renewable generation prediction. (2025). Perez Caldentey, Esteban ; Segarra-Tamarit, J ; Belenguer, E ; Vidal-Albalate, R ; Prez, E. In: Mathematics and Computers in Simulation (MATCOM). RePEc:eee:matcom:v:229:y:2025:i:c:p:350-361.

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2025Uncertainty reduction in power forecasting of virtual power plant: From day-ahead to balancing markets. (2025). Goto, Mika ; Nadimi, Reza. In: Renewable Energy. RePEc:eee:renene:v:238:y:2025:i:c:s0960148124019438.

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2025From day-ahead to mid and long-term horizons with econometric electricity price forecasting models. (2025). Ghelasi, Paul ; Ziel, Florian. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:217:y:2025:i:c:s1364032125003570.

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2025Probabilistic electricity price forecasting by integrating interpretable model. (2025). Jiang, HE ; Wang, Jianzhou ; Dong, Yao. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:210:y:2025:i:c:s0040162524006449.

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2024Using Time-Series Databases for Energy Data Infrastructures. (2024). Hadjichristofi, Christos ; Diochnos, Spyridon ; Andresakis, Kyriakos ; Vescoukis, Vassilios. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:21:p:5478-:d:1512214.

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2025A Comprehensive Analysis of Imbalance Signal Prediction in the Japanese Electricity Market Using Machine Learning Techniques. (2025). Yamada, Yuji ; Jiang, Kaiyao. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:11:p:2680-:d:1661803.

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2025A Comparative Analysis of Price Forecasting Methods for Maximizing Battery Storage Profits. (2025). Maccioni, Alessandro Fiori ; Sbaraglia, Simone ; Zedda, Stefano ; Mahmoudvand, Rahim. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:13:p:3309-:d:1686371.

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2025Estimation and Forecasting of the Average Unit Cost of Energy Supply in a Distribution System Using Multiple Linear Regression and ARIMAX Modeling in Ecuador. (2025). Chasi-Pesantez, Paul Andrs ; Ordoez-Ordoez, Jorge Osmani ; Guerrero-Vsquez, Luis Fernando ; Mendez-Santos, Pablo Alejandro ; Chacn-Reino, Nathalia Alexandra. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:14:p:3659-:d:1699201.

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2024Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study. (2024). Quashie, Mike ; Lopez, Manuel Zamudio ; Zareipour, Hamidreza. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:1:p:7-137:d:1331777.

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2025A Set of New Tools to Measure the Effective Value of Probabilistic Forecasts of Continuous Variables. (2025). Lauret, Philippe ; David, Mathieu ; le Gal, Josselin. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:2:p:30-:d:1682859.

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2024Forecasting price spikes in day-ahead electricity markets: techniques, challenges, and the road ahead. (2024). Sheybanivaziri, Samaneh ; le Dreau, Jerome ; Kazmi, Hussain. In: Discussion Papers. RePEc:hhs:nhhfms:2024_001.

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2024Carbon Taxation and Electricity Price Dynamics: Empirical Evidence from the Australian Market. (2024). Comincioli, Nicola ; Guerini, Mattia ; Vergalli, Sergio. In: Environmental & Resource Economics. RePEc:kap:enreec:v:87:y:2024:i:12:d:10.1007_s10640-024-00908-4.

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2024Evaluating the Role of Information Disclosure on Bidding Behavior in Wholesale Electricity Markets. (2024). Silveira, Douglas ; Eckert, Andrew ; Cajueiro, Daniel ; Brown, David. In: Working Papers. RePEc:ris:albaec:2024_002.

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2024Probabilistic electricity price forecasting based on penalized temporal fusion transformer. (2024). Wang, Jianzhou ; Dong, Yao ; Pan, Sheng ; Jiang, HE. In: Journal of Forecasting. RePEc:wly:jforec:v:43:y:2024:i:5:p:1465-1491.

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2024Electricity price forecasting using quantile regression averaging with nonconvex regularization. (2024). Dong, Yao ; Wang, Jianzhou ; Jiang, HE. In: Journal of Forecasting. RePEc:wly:jforec:v:43:y:2024:i:6:p:1859-1879.

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2024Forecasting Chinese crude oil futures volatility: New evidence based on dual feature processing of large‐scale variables. (2024). Wang, Jinghui ; Liang, Chao ; Pan, Yijun ; Qiao, Gaoxiu. In: Journal of Forecasting. RePEc:wly:jforec:v:43:y:2024:i:7:p:2495-2521.

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2024Does a meta-combining method lead to more accurate forecasts in the decision-making process?. (2024). Aras, Serkan ; Gulay, Emrah. In: Operations Research and Decisions. RePEc:wut:journl:v:34:y:2024:i:3:p:101-124:id:6.

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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]		paper31
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: 31		article
2020Beating the naive: Combining LASSO with naive intraday electricity price forecasts In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper18
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: 18		article
2020PCA forecast averaging - predicting day-ahead and intraday electricity prices In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper19
2020PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices.(2020) In: Energies.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 19		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]		paper2
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]		paper8
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: 8		article
2024Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices In: Papers.
[Full Text][Citation analysis]		paper4
2024Probabilistic forecasting with a hybrid Factor-QRA approach: Application to electricity trading In: Papers.
[Full Text][Citation analysis]		paper2
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]		paper7
2024Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression.(2024) In: Energy Economics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 7		article
2024Regularization for electricity price forecasting In: Papers.
[Full Text][Citation analysis]		paper4
2024Regularization for electricity price forecasting.(2024) In: Operations Research and Decisions.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 4		article
2024Ranking probabilistic forecasting models with different loss functions 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]		article38
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: 38		paper
2021Regularized quantile regression averaging for probabilistic electricity price forecasting In: Energy Economics.
[Full Text][Citation analysis]		article38
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: 38		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]		article42
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
[Full Text][Citation analysis]		article62
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: 62		paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
[Full Text][Citation analysis]		article34
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: 34		paper
2018Efficient Forecasting of Electricity Spot Prices with Expert and LASSO Models In: Energies.
[Full Text][Citation analysis]		article31
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: 31		paper
2016Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies.
[Full Text][Citation analysis]		article63
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: 63		paper
2017Variance stabilizing transformations for electricity spot price forecasting In: HSC Research Reports.
[Full Text][Citation analysis]		paper36
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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