Citation profile for Tomasz Serafin

Tomasz Serafin : Citation Profile

Politechnika Wrocławska

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Citations

RESEARCH PRODUCTION:

Articles

Papers

RESEARCH ACTIVITY:

   3 years (2018 - 2021). See details.
   Cites by year: 31
   Journals where Tomasz Serafin has often published
   Relations with other researchers
   Recent citing documents: 19.    Total self citations: 7 (6.86 %)

MORE DETAILS IN:

EconPapers

ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pse644
   Updated: 2024-12-03    RAS profile: 2021-04-20
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Relations with other researchers

Works with:

Weron, RafaÅ (5)

Uniejewski, Bartosz (4)

Nitka, Weronika (3)

Weron, Tomasz (2)

Maciejowska, Katarzyna (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Tomasz Serafin.

Is cited by:

Weron, RafaÅ (22)

Uniejewski, Bartosz (15)

Marcjasz, Grzegorz (14)

Maciejowska, Katarzyna (12)

Nitka, Weronika (6)

Weron, Tomasz (5)

Janczura, Joanna (4)

Gianfreda, Angelica (2)

BillÃ©, Anna Gloria (2)

Sadowska, Beata (1)

Pelagatti, Matteo (1)

Cites to:

Weron, RafaÅ (88)

Uniejewski, Bartosz (26)

Marcjasz, Grzegorz (24)

Nowotarski, Jakub (20)

Maciejowska, Katarzyna (16)

Nitka, Weronika (8)

Weron, Tomasz (8)

Paraschiv, Florentina (7)

Trueck, Stefan (7)

Misiorek, Adam (6)

Diebold, Francis (5)

Main data

Where Tomasz Serafin has published?

Journals with more than one article published	# docs
Energies	4

Working Papers Series with more than one paper published	# docs
WORking papers in Management Science (WORMS) / Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology	4
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Science and Technology	2

Recent works citing Tomasz Serafin (2024 and 2023)

Year	Title of citing document
2023	Enhancing Energy System Models Using Better Load Forecasts. (2023). Musgens, Felix ; Grothe, Oliver ; Watermeyer, Mira ; Mobius, Thomas. In: Papers. RePEc:arx:papers:2302.11017. Full description at Econpapers \|\| Download paper
2024	Multivariate 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
2023	A 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. Full description at Econpapers \|\| Download paper
2023	Multivariate Simulation-based Forecasting for Intraday Power Markets: Modelling Cross-Product Price Effects. (2023). Ziel, Florian ; Hirsch, Simon. In: Papers. RePEc:arx:papers:2306.13419. Full description at Econpapers \|\| Download paper
2023	Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867. Full description at Econpapers \|\| Download paper
2024	Regularization for electricity price forecasting. (2024). Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2404.03968. Full description at Econpapers \|\| Download paper
2023	Multivariate probabilistic forecasting of intraday electricity prices using normalizing flows. (2023). Dahmen, Manuel ; Mitsos, Alexander ; Witthaut, Dirk ; Cramer, Eike. In: Applied Energy. RePEc:eee:appene:v:346:y:2023:i:c:s0306261923007341. Full description at Econpapers \|\| Download paper
2023	CRPS learning. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Journal of Econometrics. RePEc:eee:econom:v:237:y:2023:i:2:s0304407621002724. Full description at Econpapers \|\| Download paper
2023	From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2023). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Energy Economics. RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323001007. Full description at Econpapers \|\| Download paper
2023	Distributional neural networks for electricity price forecasting. (2023). Weron, RafaÅ ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419. Full description at Econpapers \|\| Download paper
2024	Toward 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. Full description at Econpapers \|\| Download paper
2023	Time-coupled day-ahead wind power scenario generation: A combined regular vine copula and variance reduction method. (2023). Abhyankar, Abhijit R ; Krishna, Attoti Bharath. In: Energy. RePEc:eee:energy:v:265:y:2023:i:c:s0360544222030596. Full description at Econpapers \|\| Download paper
2023	Forecasting electricity prices with expert, linear, and nonlinear models. (2023). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:570-586. Full description at Econpapers \|\| Download paper
2023	LASSO principal component averaging: A fully automated approach for point forecast pooling. (2023). Maciejowska, Katarzyna ; Uniejewski, Bartosz. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1839-1852. Full description at Econpapers \|\| Download paper
2023	Conversion of anaerobic digestates from biogas plants: Laboratory fertilizer formulation, scale-up and demonstration of applicative properties on plants. (2023). Gil, Filip ; Mikula, Katarzyna ; Trzaska, Krzysztof ; Skrzypczak, Dawid ; Chojnacka, Katarzyna ; Witek-Krowiak, Anna ; Moustakas, Konstantinos ; Polomska, Xymena ; Mironiuk, Magorzata ; Izydorczyk, Grzegorz. In: Renewable Energy. RePEc:eee:renene:v:203:y:2023:i:c:p:506-517. Full description at Econpapers \|\| Download paper

Works by Tomasz Serafin:

Year	Title	Type	Cited
2019	Averaging predictive distributions across calibration windows for day-ahead electricity price forecasting In: WORking papers in Management Science (WORMS). [Full Text][Citation analysis]	paper	27
2019	Averaging 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
2020	PCA forecast averaging - predicting day-ahead and intraday electricity prices In: WORking papers in Management Science (WORMS). [Full Text][Citation analysis]	paper	17
2020	PCA Forecast AveragingâPredicting Day-Ahead and Intraday Electricity Prices.(2020) In: Energies. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 17	article
2020	Trading on short-term path forecasts of intraday electricity prices In: WORking papers in Management Science (WORMS). [Full Text][Citation analysis]	paper	4
2021	Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method In: WORking papers in Management Science (WORMS). [Full Text][Citation analysis]	paper	4
2020	Note on simulation pricing of $\pi$-options In: Papers. [Full Text][Citation analysis]	paper	0
2018	Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting In: Energies. [Full Text][Citation analysis]	article	33
2018	Selection of calibration windows for day-ahead electricity price forecasting.(2018) In: HSC Research Reports. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 33	paper
2020	Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader In: Energies. [Full Text][Citation analysis]	article	10
2019	Balancing RES generation: Profitability of an energy trader In: HSC Research Reports. [Full Text][Citation analysis]	paper	0