Tomasz Serafin : Citation Profile


Are you Tomasz Serafin?

Politechnika Wrocławska

4

H index

4

i10 index

84

Citations

RESEARCH PRODUCTION:

5

Articles

7

Papers

RESEARCH ACTIVITY:

   3 years (2018 - 2021). See details.
   Cites by year: 28
   Journals where Tomasz Serafin has often published
   Relations with other researchers
   Recent citing documents: 11.    Total self citations: 7 (7.69 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pse644
   Updated: 2024-01-16    RAS profile: 2021-04-20    
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Relations with other researchers


Works with:

Weron, Rafał (5)

Uniejewski, Bartosz (4)

Nitka, Weronika (3)

Maciejowska, Katarzyna (2)

Weron, Tomasz (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, Rafał (22)

Marcjasz, Grzegorz (13)

Maciejowska, Katarzyna (12)

Uniejewski, Bartosz (11)

Nitka, Weronika (6)

Weron, Tomasz (5)

Janczura, Joanna (4)

Billé, Anna Gloria (1)

Grossi, Luigi (1)

Gianfreda, Angelica (1)

Pelagatti, Matteo (1)

Cites to:

Weron, Rafał (88)

Uniejewski, Bartosz (26)

Marcjasz, Grzegorz (24)

Nowotarski, Jakub (20)

Maciejowska, Katarzyna (16)

Weron, Tomasz (8)

Nitka, Weronika (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
Energies4

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 Technology4
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Technology2

Recent works citing Tomasz Serafin (2024 and 2023)


YearTitle of citing document
2023Enhancing 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

2023Multivariate 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

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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2023Multivariate 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

2023Learning 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

2023Multivariate 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

2023From 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

2023Distributional neural networks for electricity price forecasting. (2023). Weron, Rafał ; 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

2023Time-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

2023Forecasting 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

2023Conversion 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:


YearTitleTypeCited
2019Averaging predictive distributions across calibration windows for day-ahead electricity price forecasting In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]
paper23
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: 23
article
2020PCA forecast averaging - predicting day-ahead and intraday electricity prices In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]
paper13
2020PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices.(2020) In: Energies.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 13
article
2020Trading on short-term path forecasts of intraday electricity prices In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]
paper4
2021Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]
paper3
2020Note on simulation pricing of $\pi$-options In: Papers.
[Full Text][Citation analysis]
paper0
2018Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting In: Energies.
[Full Text][Citation analysis]
article31
2018Selection 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: 31
paper
2020Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader In: Energies.
[Full Text][Citation analysis]
article10
2020A Note on Simulation Pricing of ? -Options In: Risks.
[Full Text][Citation analysis]
article0
2019Balancing RES generation: Profitability of an energy trader In: HSC Research Reports.
[Full Text][Citation analysis]
paper0

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