Bartosz Uniejewski : Citation Profile


Are you Bartosz Uniejewski?

Politechnika Wrocławska

8

H index

7

i10 index

179

Citations

RESEARCH PRODUCTION:

10

Articles

10

Papers

RESEARCH ACTIVITY:

   5 years (2016 - 2021). See details.
   Cites by year: 35
   Journals where Bartosz Uniejewski has often published
   Relations with other researchers
   Recent citing documents: 42.    Total self citations: 18 (9.14 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pun47
   Updated: 2021-10-16    RAS profile: 2021-04-21    
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Relations with other researchers


Works with:

Weron, Rafał (18)

Marcjasz, Grzegorz (10)

Serafin, Tomasz (3)

Nowotarski, Jakub (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 (66)

Marcjasz, Grzegorz (52)

Serafin, Tomasz (20)

Nitka, Weronika (11)

Weron, Tomasz (10)

Maciejowska, Katarzyna (6)

Jędrzejewski, Arkadiusz (5)

Chawla, Yash (4)

Nowotarski, Jakub (3)

Brdulak, Anna (2)

Gianfreda, Angelica (2)

Cites to:

Weron, Rafał (190)

Nowotarski, Jakub (82)

Marcjasz, Grzegorz (30)

Trueck, Stefan (26)

Misiorek, Adam (23)

Maciejowska, Katarzyna (22)

Paraschiv, Florentina (14)

Hong, Tao (13)

Diebold, Francis (12)

Lisi, Francesco (10)

Nan, Fany (9)

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
WORking papers in Management Science (WORMS) / Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology2

Recent works citing Bartosz Uniejewski (2021 and 2020)


YearTitle of citing document
2020Trading on short-term path forecasts of intraday electricity prices. (2020). Weron, Rafał ; Chawla, Yash ; Marcjasz, Grzegorz ; Serafin, Tomasz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2017.

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2021Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Jędrzejewski, Arkadiusz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2104.

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2021Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method. (2021). Sotiros, Dimitrios ; Serafin, Tomasz ; Nitka, Weronika. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2106.

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2021Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Dubrawski, Artur ; Challu, Cristian ; Olivares, Kin G. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2107.

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2020Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories. (2020). Ziel, Florian ; Narajewski, Michal. In: Papers. RePEc:arx:papers:2005.01365.

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2020Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2020). Weron, Rafał ; Marcjasz, Grzegorz ; de Schutter, Bart ; Lago, Jesus. In: Papers. RePEc:arx:papers:2008.08004.

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2020Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs. (2020). Weron, Rafał ; Marcjasz, Grzegorz ; Lago, Jesus. In: Papers. RePEc:arx:papers:2008.08006.

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2020Optimal Order Execution in Intraday Markets: Minimizing Costs in Trade Trajectories. (2020). Ziel, Florian ; Kath, Christopher. In: Papers. RePEc:arx:papers:2009.07892.

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2021CRPS Learning. (2021). Berrisch, Jonathan ; Ziel, Florian. In: Papers. RePEc:arx:papers:2102.00968.

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2021Optimal bidding on hourly and quarter-hourly day-ahead electricity price auctions: trading large volumes of power with market impact and transaction costs. (2021). Narajewski, Michal ; Ziel, Florian. In: Papers. RePEc:arx:papers:2104.14204.

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2021National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?. (2021). Cho, Youngsang ; Lee, Juyong. In: Papers. RePEc:arx:papers:2107.06174.

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2020Performance of alternative electricity price forecasting methods: Findings from the Greek and Hungarian power exchanges. (2020). Verbič, Miroslav ; Zori, Jelena ; Haluan, Marko. In: Applied Energy. RePEc:eee:appene:v:277:y:2020:i:c:s0306261920311089.

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2020Ensemble forecasting for intraday electricity prices: Simulating trajectories. (2020). Ziel, Florian ; Narajewski, Micha. In: Applied Energy. RePEc:eee:appene:v:279:y:2020:i:c:s0306261920312824.

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2021Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2021). Weron, Rafał ; de Schutter, Bart ; Marcjasz, Grzegorz ; Lago, Jesus. In: Applied Energy. RePEc:eee:appene:v:293:y:2021:i:c:s0306261921004529.

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2020Assessing the impact of renewable energy sources on the electricity price level and variability – A quantile regression approach. (2020). Maciejowska, Katarzyna. In: Energy Economics. RePEc:eee:eneeco:v:85:y:2020:i:c:s0140988319303275.

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2020Modeling and forecasting the electricity clearing price: A novel BELM based pattern classification framework and a comparative analytic study on multi-layer BELM and LSTM. (2020). Zheng, Qingru ; Shao, Zhen ; Liu, Chen ; Zhang, Qiang ; Cheng, Manli ; Gao, Fei ; Yang, Shanlin. In: Energy Economics. RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988319304451.

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2021Enhancing load, wind and solar generation for day-ahead forecasting of electricity prices. (2021). Weron, Tomasz ; Nitka, Weronika ; Maciejowska, Katarzyna. In: Energy Economics. RePEc:eee:eneeco:v:99:y:2021:i:c:s014098832100178x.

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2020Conceptualising housing costs: The hidden face of energy poverty in Poland. (2020). Śmiech, Sławomir ; Karpinska, Lilia. In: Energy Policy. RePEc:eee:enepol:v:147:y:2020:i:c:s0301421520305371.

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2021Liquidity costs on intraday power markets: Continuous trading versus auctions. (2021). Wozabal, David ; Kuppelwieser, Thomas. In: Energy Policy. RePEc:eee:enepol:v:154:y:2021:i:c:s0301421521001683.

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2021Learning spatiotemporal dynamics in wholesale energy markets with dynamic mode decomposition. (2021). Dowling, Alexander W ; Elmore, Clay T. In: Energy. RePEc:eee:energy:v:232:y:2021:i:c:s0360544221012615.

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2020Comparing the forecasting performances of linear models for electricity prices with high RES penetration. (2020). Gianfreda, Angelica ; Rossini, Luca ; Ravazzolo, Francesco. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:3:p:974-986.

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2020Probabilistic forecasting in day-ahead electricity markets: Simulating peak and off-peak prices. (2020). Ziel, Florian ; Muniain, Peru. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:4:p:1193-1210.

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2021Conformal prediction interval estimation and applications to day-ahead and intraday power markets. (2021). Ziel, Florian ; Kath, Christopher. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:777-799.

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2021Evaluating quantile-bounded and expectile-bounded interval forecasts. (2021). Taylor, James W. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:800-811.

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2020Econometric modelling and forecasting of intraday electricity prices. (2020). Ziel, Florian ; Narajewski, Micha. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:19:y:2020:i:c:s2405851319300728.

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2020The impact of the integration of renewable energy sources in the electricity price formation: is the Merit-Order Effect occurring in Portugal?. (2020). Damette, Olivier ; Marques, Antonio Cardoso ; Macedo, Daniela Pereira. In: Utilities Policy. RePEc:eee:juipol:v:66:y:2020:i:c:s0957178720300758.

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2020Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods. (2020). de Almeida, Marcos ; Luna, Ivette ; Oliveira, Domingos S ; Stevan, Sergio L ; Alves, Thiago Antonini ; de Souza, Yara ; Converti, Attilio ; Macedo, Mariana ; Sarubbo, Leonie Asfora ; Siqueira, Hugo. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:16:p:4236-:d:399758.

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2020Intraday Electricity Pricing of Night Contracts. (2020). Paraschiv, Florentina ; Kiesel, Rudiger ; Kremer, Marcel. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:17:p:4501-:d:406944.

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2020Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme. (2020). Marcjasz, Grzegorz. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:18:p:4605-:d:409115.

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2020Comparison of Electricity Spot Price Modelling and Risk Management Applications. (2020). Adiyeke, Esra ; Anakolu, Ethem . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:18:p:4698-:d:411305.

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2020Determination of Electricity Demand by Personal Light Electric Vehicles (PLEVs): An Example of e-Motor Scooters in the Context of Large City Management in Poland. (2020). Jagodziski, Jacek ; Chaberek, Grayna ; Brdulak, Anna . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:1:p:194-:d:304073.

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2020Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader. (2020). Weron, Tomasz ; Serafin, Tomasz ; Nitka, Weronika ; Zaleski, Przemysaw ; Kath, Christopher. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:1:p:205-:d:304260.

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2020Optimization of Electric Energy Sales Strategy Based on Probabilistic Forecasts. (2020). Michalak, Aleksandra ; Janczura, Joanna . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:5:p:1045-:d:325457.

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2020Load Nowcasting: Predicting Actuals with Limited Data. (2020). Ziel, Florian. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:6:p:1443-:d:334632.

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2021Importance of the Long-Term Seasonal Component in Day-Ahead Electricity Price Forecasting Revisited: Parameter-Rich Models Estimated via the LASSO. (2021). Weron, Rafał ; Marcjasz, Grzegorz ; Jdrzejewski, Arkadiusz. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:11:p:3249-:d:567421.

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2021Modeling Dynamic Multifractal Efficiency of US Electricity Market. (2021). Ferreira, Paulo ; Aslam, Faheem ; Ali, Haider. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:19:p:6145-:d:644089.

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2021A Spectral Model of Grid Frequency for Assessing the Impact of Inertia Response on Wind Turbine Dynamics. (2021). Guo, Feng ; Schlipf, David. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:9:p:2492-:d:544353.

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2021Probabilistic Day-Ahead Wholesale Price Forecast: A Case Study in Great Britain. (2021). Verma, Jake ; Caudron, Julien ; Haben, Stephen. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:38-632:d:623967.

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2021Application of Bagging in Day-Ahead Electricity Price Forecasting and Factor Augmentation. (2021). Yildirim, Dilem ; Ozen, Kadir. In: ERC Working Papers. RePEc:met:wpaper:2101.

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2021Forecasting Electricity Prices with Expert, Linear and Non-Linear Models. (2021). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: Working Paper series. RePEc:rim:rimwps:21-20.

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2020Comparison of Forex Market Forecasting Tools Based on Evolino Ensemble and Technical Analysis Indicators. (2020). Stankeviien, Jelena ; Maknickien, Nijol ; Maknickas, Algirdas. In: Journal for Economic Forecasting. RePEc:rjr:romjef:v::y:2020:i:3:p:134-148.

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2021Short-term risk management for electricity retailers under rising shares of decentralized solar generation. (2021). Keles, Dogan ; Bertsch, Valentin ; Kraft, Emil ; Russo, Marianna. In: Working Paper Series in Production and Energy. RePEc:zbw:kitiip:57.

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Works by Bartosz Uniejewski:


YearTitleTypeCited
2020Beating the naive: Combining LASSO with naive intraday electricity price forecasts In: WORking papers in Management Science (WORMS).
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paper9
2020Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts.(2020) In: Energies.
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This paper has another version. Agregated cites: 9
article
2020PCA forecast averaging - predicting day-ahead and intraday electricity prices In: WORking papers in Management Science (WORMS).
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paper5
2020PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices.(2020) In: Energies.
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This paper has another version. Agregated cites: 5
article
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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article21
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 another version. Agregated cites: 21
paper
2021Regularized quantile regression averaging for probabilistic electricity price forecasting In: Energy Economics.
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article4
2019Regularized Quantile Regression Averaging for probabilistic electricity price forecasting.(2019) In: HSC Research Reports.
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This paper has another version. Agregated cites: 4
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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article16
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
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article27
2018Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO.(2018) In: HSC Research Reports.
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This paper has another version. Agregated cites: 27
paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
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article6
2018Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?.(2018) In: HSC Research Reports.
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This paper has another version. Agregated cites: 6
paper
2018Efficient Forecasting of Electricity Spot Prices with Expert and LASSO Models In: Energies.
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article17
2018Efficient forecasting of electricity spot prices with expert and LASSO models.(2018) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 17
paper
2019Averaging Predictive Distributions Across Calibration Windows for Day-Ahead Electricity Price Forecasting In: Energies.
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article11
2016Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies.
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article36
2016Automated variable selection and shrinkage for day-ahead electricity price forecasting.(2016) In: HSC Research Reports.
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This paper has another version. Agregated cites: 36
paper
2017Variance stabilizing transformations for electricity spot price forecasting In: HSC Research Reports.
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paper19
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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