Email: rafal.weron@pwr.edu.pl

Unit: Faculty of Management (N) » Department of Operations Research and Business Intelligence

ul. I. Łukasiewicza 3/5, 50-371 Wrocław
building B-4, room 5.17
phone +48 71 320 4525

[Homepage] includes a biogram, lists of publications and projects, selected conference talks and materials for students (including information about office hours)

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1	Article 2025 Katarzyna J Chęć, Bartosz Uniejewski, Rafał Weron, Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market. Journal of Commodity Markets. 2025, vol. 37, art. 100449, s. 1-12. ISSN: 2405-8513; 2405-8505 Resources:DOISFX
2	Article 2024 Arkadiusz Lipiecki, Bartosz Uniejewski, Rafał Weron, Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: the benefits of using isotonic distributional regression. Energy Economics. 2024, vol. 139, art. 107934, s. 1-10. ISSN: 0140-9883; 1873-6181 Resources:DOISFX
3	Article 2024 Fotios Petropoulos, Gilbert Laporte, Emel Aktas, Sibel A Alumur, Claudia Archetti, Hayriye Ayhan, Maria Battarra, Julia A Bennell, Jean-Marie Bourjolly, John E Boylan, Michèle Breton, David Canca, Laurent Charlin, Bo Chen, Cihan Tugrul Cicek, Louis Anthony Cox Jr, Erik Demeulemeester, Li Ding, Stephen M Disney, Matthias Ehrgott, Martin J Eppler, Güneş Erdoğan, Bernard Fortz, Jens Frische, Salvatore Greco, Amanda J Gregory, Raimo P Hämäläinen, Willy Herroelen, Mike Hewitt, Jan Holmström, John N Hooker, Tuğçe Işık, Jill Johnes, Bahar Y Kara, Özlem Karsu, Katherine Kent, Charlotte Köhler, Martin Kunc, Yong-Hong Kuo, Adam N Letchford, Janny Leung, Dong Li, Haitao Li, Judit Lienert, Ivana Ljubic, Andrea Lodi, Sebastián Lozano, Virginie Lurkin, Silvano Martello, Ian G McHale, Gerald Midgley, Akshay Mutha, Ceyda Oguz, Sanja Petrovic, Ulrich Pferschy, Harilaos N Psaraftis, Sam Rose, Lauri Saarinen, Said Salhi, Jing-Sheng Song, Dimitrios Georgios Sotiros, Kathryn E Stecke, Arne K Strauss, İstenç Tarhan, Clemens Thielen, Paolo Toth, Tom Van Woensel, Greet Vanden Berghe, Christos Vasilakis, Vikrant Vaze, Daniele Vigo, Kai Virtanen, Xun Wang, Rafał Weron, Leroy White, Mike Yearworth, Georges Zaccour, Xuying Zhao, Operational Research: methods and applications. Journal of the Operational Research Society. 2024, vol. 75, nr 3, s. 423-617. ISSN: 0160-5682; 1476-9360 Resources:DOISFX
4	Article 2023 Weronika M Nitka, Rafał Weron, Combining predictive distributions of electricity prices. Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?. Operations Research and Decisions. 2023, vol. 33, nr 3, s. 105-118. ISSN: 2081-8858; 2391-6060 Resources:DOIURLSFX
5	Monograph chapter 2023 Katarzyna Maciejowska, Bartosz Uniejewski, Rafał Weron, Forecasting electricity prices. W: Oxford Research Encyclopedia of Economics and Finance / red. Jonathan H. Hamilton. [New York, NY] : Oxford University Press, cop. 2023. s. 1-34. ISBN: 978-0-19-062597-9 Resources:DOIURL
6	Article 2023 Grzegorz Marcjasz, Michał Narajewski, Rafał Weron, Florian Ziel, Distributional neural networks for electricity price forecasting. Energy Economics. 2023, vol. 125, s. 1-16, art. 106843. ISSN: 0140-9883; 1873-6181 Resources:DOISFX
7	Article 2023 Kin G Olivares, Cristian Challu, Grzegorz Marcjasz, Rafał Weron, Artur Dubrawski, Neural basis expansion analysis with exogenous variables: forecasting electricity prices with NBEATSx. International Journal of Forecasting. 2023, vol. 39, nr 2, s. 884-900. ISSN: 0169-2070; 1872-8200 Resources:DOISFX
8	Proceeding paper 2022 Julia Nasiadka, Weronika M Nitka, Rafał Weron, Calibration window selection based on change-point detection for forecasting electricity prices. W: Computational Science - ICCS 2022 : 22nd International Conference London, UK, June 21-23, 2022 : proceedings. Pt. 3 / eds. Derek Groen [i in.]. Cham : Springer, cop. 2022. s. 278-284. ISBN: 978-3-031-08756-1; 978-3-031-08757-8 Resources:DOIURLSFX
9	Article 2022 Tomasz Serafin, Grzegorz Marcjasz, Rafał Weron, Trading on short-term path forecasts of intraday electricity prices. Energy Economics. 2022, vol. 112, art. 106125, s. 1-10. ISSN: 0140-9883; 1873-6181 Resources:DOIURLSFX
10	Article 2022 Jesus Lago, Grzegorz Marcjasz, Rafał Weron, Electricity price forecasting: the dawn of machine learning. IEEE Power and Energy Magazine. 2022, vol. 20, nr 3, s. 24-31. ISSN: 1540-7977; 1558-4216 Resources:DOIURLSFX