Bartosz Uniejewski : Citation Profile

Politechnika Wrocławska

11

H index

11

i10 index

387

Citations

RESEARCH PRODUCTION:

13

Articles

19

Papers

RESEARCH ACTIVITY:

   8 years (2016 - 2024). See details.
   Cites by year: 48
   Journals where Bartosz Uniejewski has often published
   Relations with other researchers
   Recent citing documents: 42.    Total self citations: 26 (6.3 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pun47
   Updated: 2025-04-12    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 (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)

Newbery, David M (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

Production by document typepaperarticle2016201720182019202020212022202320240510Documents Highcharts.comExport to raster or vector imagePrint the chart
Cumulative documents published201620172018201920202021202220232024010203040Documents Highcharts.comExport to raster or vector imagePrint the chart

Citations received20162017201820192020202120222023202420250255075100Citations Highcharts.comExport to raster or vector imagePrint the chart
Citations by production year201620172018201920202021202220232024050100150Citations Highcharts.comExport to raster or vector imagePrint the chart

H-Index: 11Most cited documents123456789101112130255075Number of citations Highcharts.comExport to raster or vector imagePrint the chart
H-Index evolution201610201611201612201701201702201703201704201705201706201707201708201709201710201711201712201801201802201803201804201805201806201807201808201809201810201811201812201901201902201903201904201905201906201907201908201909201910201911201912202001202002202003202004202005202006202007202008202009202010202011202012202101202102202103202104202105202106202107202108202109202110202111202112202201202202202203202204202205202206202207202208202209202210202211202212202301202302202303202304202305202306202307202308202309202310202311202312202401202402202403202404202405202406202407202408202409202410202411202412202501202502202503202504051015h-index Highcharts.comExport to raster or vector imagePrint the chart

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)

Year  ↓Title 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.

Full description at Econpapers || Download paper

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

Full description at Econpapers || Download paper

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.

Full description at Econpapers || Download paper

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

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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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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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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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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:

Year  ↓Title  ↓Type  ↓Cited  ↓
2019Averaging predictive distributions across calibration windows for day-ahead electricity price forecasting In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper27
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: 27		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]		paper16
2020PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices.(2020) In: Energies.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 16		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]		paper5
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: 5		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]		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]		paper1
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: 1		article
2024Regularization for electricity price forecasting In: Papers.
[Full Text][Citation analysis]		paper1
2024Regularization for electricity price forecasting.(2024) In: Operations Research and Decisions.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 1		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]		article35
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: 35		paper
2021Regularized quantile regression averaging for probabilistic electricity price forecasting In: Energy Economics.
[Full Text][Citation analysis]		article30
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: 30		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]		article38
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
[Full Text][Citation analysis]		article56
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: 56		paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
[Full Text][Citation analysis]		article29
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: 29		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]		article58
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: 58		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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