Bartosz Uniejewski : Citation Profile

Are you Bartosz Uniejewski?

Politechnika Wrocławska

10

H index

11

i10 index

297

Citations

RESEARCH PRODUCTION:

10

Articles

15

Papers

RESEARCH ACTIVITY:

   7 years (2016 - 2023). See details.
   Cites by year: 42
   Journals where Bartosz Uniejewski has often published
   Relations with other researchers
   Recent citing documents: 55.    Total self citations: 21 (6.6 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pun47
   Updated: 2023-05-27    RAS profile: 2023-04-08    
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Relations with other researchers

Works with:

Weron, Rafał (15)

Marcjasz, Grzegorz (8)

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 (80)

Marcjasz, Grzegorz (66)

Serafin, Tomasz (20)

Nitka, Weronika (16)

Weron, Tomasz (15)

Maciejowska, Katarzyna (13)

Janczura, Joanna (7)

Jędrzejewski, Arkadiusz (6)

Chawla, Yash (4)

Guo, Bowei (3)

Grossi, Luigi (3)

Cites to:

Weron, Rafał (261)

Nowotarski, Jakub (98)

Marcjasz, Grzegorz (43)

Maciejowska, Katarzyna (38)

Trueck, Stefan (32)

Misiorek, Adam (31)

Serafin, Tomasz (21)

Hong, Tao (16)

Paraschiv, Florentina (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 (2023 and 2022)

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

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2022Optimal 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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2022From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2022). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Papers. RePEc:arx:papers:2204.10154.

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2022A portfolio management of a small RES utility with a Structural Vector Autoregressive model of German electricity markets. (2022). Maciejowska, Katarzyna. In: Papers. RePEc:arx:papers:2205.00975.

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2022Probabilistic forecasting of German electricity imbalance prices. (2022). Narajewski, Michal. In: Papers. RePEc:arx:papers:2205.11439.

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2022Distributional neural networks for electricity price forecasting. (2022). Ziel, Florian ; Weron, Rafal ; Narajewski, Michal ; Marcjasz, Grzegorz. In: Papers. RePEc:arx:papers:2207.02832.

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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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2021Multi-Day-Ahead Electricity Price Forecasting: A Comparison of fundamental, econometric and hybrid Models. (2021). Vogler, Arne ; Beran, Philip. In: EWL Working Papers. RePEc:dui:wpaper:2102.

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2022Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?. (2022). Liu, Xiaohui ; Jiang, Lan ; Fan, Yawen ; Yang, Yang. In: Annals of Tourism Research. RePEc:eee:anture:v:93:y:2022:i:c:s0160738322000160.

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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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2022Solar and wind power generation forecasts using elastic net in time-varying forecast combinations. (2022). Musgens, Felix ; Kaso, Mathias ; Nikodinoska, Dragana . In: Applied Energy. RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921012861.

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2022Scenarios modelling for forecasting day-ahead electricity prices: Case studies in Australia. (2022). Zhu, Jianguo ; Lei, Gang ; Qiu, Jing ; Lu, Xin. In: Applied Energy. RePEc:eee:appene:v:308:y:2022:i:c:s0306261921015555.

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2022Dispatch optimization of a concentrating solar power system under uncertain solar irradiance and energy prices. (2022). Wagner, Michael J ; Morton, David P ; Kahveciolu, Goke. In: Applied Energy. RePEc:eee:appene:v:326:y:2022:i:c:s0306261922012351.

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2022A pattern classification methodology for interval forecasts of short-term electricity prices based on hybrid deep neural networks: A comparative analysis. (2022). Zhou, Kaile ; Zheng, Qingru ; Yang, Yudie ; Shao, Zhen ; Liu, Chen. In: Applied Energy. RePEc:eee:appene:v:327:y:2022:i:c:s0306261922013721.

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2022Integrated day-ahead and intraday self-schedule bidding for energy storage systems using approximate dynamic programming. (2022). Ziel, Florian ; Gonsch, Jochen ; Finnah, Benedikt. In: European Journal of Operational Research. RePEc:eee:ejores:v:301:y:2022:i:2:p:726-746.

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2021Application of bagging in day-ahead electricity price forecasting and factor augmentation. (2021). Yildirim, Dilem ; Ozen, Kadir. In: Energy Economics. RePEc:eee:eneeco:v:103:y:2021:i:c:s0140988321004448.

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2022Forecasting day-ahead electricity prices: A comparison of time series and neural network models taking external regressors into account. (2022). Herwartz, Helmut ; Scheller, Fabian ; Lehna, Malte. In: Energy Economics. RePEc:eee:eneeco:v:106:y:2022:i:c:s0140988321005879.

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2022Short-term risk management of electricity retailers under rising shares of decentralized solar generation. (2022). Keles, Dogan ; Bertsch, Valentin ; Kraft, Emil ; Russo, Marianna. In: Energy Economics. RePEc:eee:eneeco:v:109:y:2022:i:c:s0140988322001323.

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2022Optimal bidding in hourly and quarter-hourly electricity price auctions: Trading large volumes of power with market impact and transaction costs. (2022). Ziel, Florian ; Narajewski, Micha. In: Energy Economics. RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322001505.

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2022Dynamic short-term risk management strategies for the choice of electricity market based on probabilistic forecasts of profit and risk measures. The German and the Polish market case study. (2022). Wojcik, Edyta ; Janczura, Joanna. In: Energy Economics. RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322001840.

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2022A volatility spillover analysis with realized semi(co)variances in Australian electricity markets. (2022). Zarraga, Ainhoa ; Chanatasig-Niza, Evelyn ; Ciarreta, Aitor. In: Energy Economics. RePEc:eee:eneeco:v:111:y:2022:i:c:s0140988322002407.

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2022Trading on short-term path forecasts of intraday electricity prices. (2022). Weron, Rafa ; Marcjasz, Grzegorz ; Serafin, Tomasz. In: Energy Economics. RePEc:eee:eneeco:v:112:y:2022:i:c:s014098832200281x.

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2022Modeling peak electricity demand: A semiparametric approach using weather-driven cross-temperature response functions. (2022). Miller, J. ; Nam, Kyungsik. In: Energy Economics. RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322004212.

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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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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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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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2022National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?. (2022). Cho, Youngsang ; Lee, Juyong. In: Energy. RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221026153.

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2022Probabilistic load forecasting with a non-crossing sparse-group Lasso-quantile regression deep neural network. (2022). Kusiak, Andrew ; Liu, Yezheng ; Jiang, Cuixia ; Xu, Qifa ; Lu, Shixiang. In: Energy. RePEc:eee:energy:v:242:y:2022:i:c:s0360544221032047.

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2022Classification-based model selection in retail demand forecasting. (2022). Pesch, Robert ; Langrock, Roland ; Jahnke, Hermann ; Ulrich, Matthias ; Senge, Robin. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:1:p:209-223.

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2022Anticipating special events in Emergency Department forecasting. (2022). Ziel, Florian ; Rostami-Tabar, Bahman. In: International Journal of Forecasting. RePEc:eee:intfor:v:38:y:2022:i:3:p:1197-1213.

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2022Forecasting: theory and practice. (2022). Shang, Han Lin ; Rubaszek, Michał ; Martinez, Andrew ; Grossi, Luigi ; Franses, Philip Hans ; Fiszeder, Piotr ; Clements, Michael ; Castle, Jennifer ; Carnevale, Claudio ; Kolassa, Stephan ; Thorarinsdottir, Thordis ; Guo, Xiaojia ; Reade, James J ; Petropoulos, Fotios ; Nikolopoulos, Konstantinos ; Koehler, Anne B ; Thomakos, Dimitrios ; Browell, Jethro ; Rapach, David E ; Modis, Theodore ; Kang, Yanfei ; Tashman, Len ; Boylan, John E ; Gunter, Ulrich ; Ramos, Patricia ; Ellison, Joanne ; Meeran, Sheik ; Richmond, Victor ; Talagala, Thiyanga S ; Bijak, Jakub ; Guidolin, Massimo ; Pinson, Pierre ; Dokumentov, Alexander ; Jeon, Jooyoung ; Bessa, Ricardo J ; Pedregal, Diego J ; de Baets, Shari ; Ziel, Florian ; Syntetos, Aris A ; Bergmeir, Christoph
2022Modelling the evolution of wind and solar power infeed forecasts. (2022). Paraschiv, Florentina ; Li, Wei. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:25:y:2022:i:c:s2405851321000234.

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2022Short- and long-term forecasting of electricity prices using embedding of calendar information in neural networks. (2022). Michaeli, Hendrik ; Schirra, Florian ; Ramentol, Enislay ; Wagner, Andreas. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:28:y:2022:i:c:s2405851322000046.

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2022The role of data frequency and method selection in electricity price estimation: Comparative evidence from Turkey in pre-pandemic and pandemic periods. (2022). Ertugrul, Hasan ; Depren, Ozer ; Erturul, Hasan Murat ; Kartal, Mustafa Tevfik. In: Renewable Energy. RePEc:eee:renene:v:186:y:2022:i:c:p:217-225.

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2022Sustainable microgrid design with multiple demand areas and peer-to-peer energy trading involving seasonal factors and uncertainties. (2022). , Jatinder ; Anh, Thi Huynh ; Yu, Vincent F. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:161:y:2022:i:c:s1364032122002556.

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2022Artificial Intelligence for Electricity Supply Chain automation. (2022). Lenk, Steve ; Klaiber, Stefan ; Dreher, Alexander ; Scholz, Christoph ; Marchand, Sophie ; Lehna, Malte ; Richter, Lucas. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:163:y:2022:i:c:s1364032122003653.

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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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2021Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy. (2021). Garcia, Fausto Pedro ; Acarolu, Hakan. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:22:p:7473-:d:675237.

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2021Volatility and Dispersion of Hourly Electricity Contracts on the German Continuous Intraday Market. (2021). Naumann, Michael ; Baule, Rainer. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:22:p:7531-:d:676816.

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2022Probabilistic Forecasting of German Electricity Imbalance Prices. (2022). Narajewski, Micha. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:14:p:4976-:d:857870.

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2022Reviewing Explanatory Methodologies of Electricity Markets: An Application to the Iberian Market. (2022). Soares, Isabel ; Fernandes, Renato. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:14:p:5020-:d:859098.

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2022Models of Electricity Price Forecasting: Bibliometric Research. (2022). Sulich, Adam ; Zema, Tomasz. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:15:p:5642-:d:879688.

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2022Price Forecasting in Energy Market. (2022). Plastun, Alex ; Kozmenko, Serhiy ; Bilan, Yuriy. In: Energies. RePEc:gam:jeners:v:15:y:2022:i:24:p:9625-:d:1007804.

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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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2022Machine Learning Models and Intra-Daily Market Information for the Prediction of Italian Electricity Prices. (2022). Pelagatti, Matteo ; Grossi, Luigi ; Golia, Silvia. In: Forecasting. RePEc:gam:jforec:v:5:y:2022:i:1:p:3-101:d:1020016.

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2022.

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2022Performance Analysis of Machine Learning Algorithms for Energy Demand–Supply Prediction in Smart Grids. (2022). Isaac, Sherrin John ; Onumanyi, Adeiza James ; Cebekhulu, Eric. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:5:p:2546-:d:755932.

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2022The Investigation of Monthly/Seasonal Data Clustering Impact on Short-Term Electricity Price Forecasting Accuracy: Ontario Province Case Study. (2022). Ahmadian, Ali ; Asadpour, Mohammad ; Pourhaji, Nazila ; Elkamel, Ali. In: Sustainability. RePEc:gam:jsusta:v:14:y:2022:i:5:p:3063-:d:765213.

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2022Indicator Selection of Index Construction by Adaptive Lasso with a Generic $$\varepsilon $$ ? -Insensitive Loss. (2022). Chi, Renyong ; Ye, Yafen ; Shao, Yuan-Hai ; Li, Chun-Na ; Hua, Xiangyu. In: Computational Economics. RePEc:kap:compec:v:60:y:2022:i:3:d:10.1007_s10614-021-10175-w.

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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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2022Multistage optimization filter for trend?based short?term forecasting. (2022). Vinogradov, Dmitri ; Kellard, Neil ; Zafar, Usman. In: Journal of Forecasting. RePEc:wly:jforec:v:41:y:2022:i:2:p:345-360.

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2022An electricity price modeling framework for renewable-dominant markets. (2022). Hain, Martin ; Kargus, Tobias ; Schermeyer, Hans ; Uhrig-Homburg, Marliese ; Fichtner, Wolf. In: Working Paper Series in Production and Energy. RePEc:zbw:kitiip:65.

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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]		paper20
2019Averaging Predictive Distributions Across Calibration Windows for Day-Ahead Electricity Price Forecasting.(2019) In: Energies.
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This paper has another version. Agregated cites: 20		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 another 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]		paper10
2020PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices.(2020) In: Energies.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 10		article
2022Forecasting Electricity Prices In: Papers.
[Full Text][Citation analysis]		paper0
2022LASSO Principal Component Averaging -- a fully automated approach for point forecast pooling In: Papers.
[Full Text][Citation analysis]		paper0
2023Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices In: Papers.
[Full Text][Citation analysis]		paper0
2023Probabilistic forecasting with Factor Quantile Regression: Application to electricity trading 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]		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.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 33		paper
2021Regularized quantile regression averaging for probabilistic electricity price forecasting In: Energy Economics.
[Full Text][Citation analysis]		article16
2019Regularized Quantile Regression Averaging for probabilistic electricity price forecasting.(2019) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 16		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]		article31
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
[Full Text][Citation analysis]		article46
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 another version. Agregated cites: 46		paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
[Full Text][Citation analysis]		article15
2018Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?.(2018) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 15		paper
2018Efficient Forecasting of Electricity Spot Prices with Expert and LASSO Models In: Energies.
[Full Text][Citation analysis]		article26
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: 26		paper
2016Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting In: Energies.
[Full Text][Citation analysis]		article49
2016Automated variable selection and shrinkage for day-ahead electricity price forecasting.(2016) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 49		paper
2017Variance stabilizing transformations for electricity spot price forecasting In: HSC Research Reports.
[Full Text][Citation analysis]		paper29
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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