Weronika Nitka : Citation Profile

Are you Weronika Nitka?

Politechnika Wrocławska

4

H index

3

i10 index

87

Citations

RESEARCH PRODUCTION:

5

Articles

5

Papers

RESEARCH ACTIVITY:

   4 years (2019 - 2023). See details.
   Cites by year: 21
   Journals where Weronika Nitka has often published
   Relations with other researchers
   Recent citing documents: 29.    Total self citations: 8 (8.42 %)

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   Permalink: http://citec.repec.org/pni435
   Updated: 2024-12-03    RAS profile: 2023-11-28    
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Relations with other researchers

Works with:

Weron, Tomasz (5)

Weron, Rafał (4)

Serafin, Tomasz (3)

Maciejowska, Katarzyna (3)

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

Is cited by:

Weron, Rafał (14)

Uniejewski, Bartosz (14)

Marcjasz, Grzegorz (10)

Maciejowska, Katarzyna (7)

Janczura, Joanna (5)

Serafin, Tomasz (4)

Billé, Anna Gloria (3)

Gianfreda, Angelica (3)

Russo, Marianna (2)

Bertsch, Valentin (2)

Pelagatti, Matteo (1)

Cites to:

Weron, Rafał (91)

Marcjasz, Grzegorz (31)

Uniejewski, Bartosz (28)

Serafin, Tomasz (22)

Nowotarski, Jakub (17)

Maciejowska, Katarzyna (13)

Gianfreda, Angelica (13)

Paraschiv, Florentina (11)

Weron, Tomasz (9)

Pelagatti, Matteo (9)

Parisio, Lucia (6)

Main data

Where Weronika Nitka has published?

Journals with more than one article published# docs
Energies2

Working Papers Series with more than one paper published# docs
Papers / arXiv.org2
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Science and Technology2

Recent works citing Weronika Nitka (2024 and 2023)

YearTitle of citing document
2024Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices. (2023). Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2302.00411.

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2023Enhancing Energy System Models Using Better Load Forecasts. (2023). Musgens, Felix ; Grothe, Oliver ; Watermeyer, Mira ; Mobius, Thomas. In: Papers. RePEc:arx:papers:2302.11017.

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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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2024Postprocessing of point predictions for probabilistic forecasting of electricity prices: Diversity matters. (2024). Weron, Rafał ; Uniejewski, Bartosz ; Lipiecki, Arkadiusz. In: Papers. RePEc:arx:papers:2404.02270.

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2024Regularization for electricity price forecasting. (2024). Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2404.03968.

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2024Seizing unconventional arbitrage opportunities in virtual power plants: A profitable and flexible recruitment approach. (2024). Zhang, Cuo ; Qiu, Jing ; Lu, Xin ; Zhu, Jianguo ; Lei, Gang. In: Applied Energy. RePEc:eee:appene:v:358:y:2024:i:c:s0306261924000114.

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2024Price forecasting in the Ontario electricity market via TriConvGRU hybrid model: Univariate vs. multivariate frameworks. (2024). Charlin, Laurent ; Pineau, Pierre-Olivier ; Ehsani, Behdad. In: Applied Energy. RePEc:eee:appene:v:359:y:2024:i:c:s0306261924000321.

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2024Electricity market price forecasting using ELM and Bootstrap analysis: A case study of the German and Finnish Day-Ahead markets. (2024). Georghiou, George E ; Kyprianou, Andreas ; Loizidis, Stylianos. In: Applied Energy. RePEc:eee:appene:v:363:y:2024:i:c:s0306261924004410.

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2024A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism. (2024). Zhang, Lifang ; Wang, Jianzhou ; Li, Ping ; Nie, Ying. In: Applied Energy. RePEc:eee:appene:v:366:y:2024:i:c:s0306261924006160.

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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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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.

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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.

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2024Toward 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.

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2024Concentration versus diversification: A spatial deployment approach to improve the economics of wind power. (2024). Madlener, Reinhard ; Klie, Leo. In: Energy Policy. RePEc:eee:enepol:v:185:y:2024:i:c:s0301421523005426.

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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.

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2023LASSO 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.

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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.

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2024Forecasting electricity prices from the state-of-the-art modeling technology and the price determinant perspectives. (2024). Abedin, Mohammad Zoynul ; Li, Qiang ; Chai, Shanglei ; Lucey, Brian M. In: Research in International Business and Finance. RePEc:eee:riibaf:v:67:y:2024:i:pa:s0275531923002581.

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2023A Predictive Fuzzy Logic Model for Forecasting Electricity Day-Ahead Market Prices for Scheduling Industrial Applications. (2023). Birbas, Alexios ; Alefragis, Panayiotis ; Karampinis, Ioannis ; Plakas, Konstantinos ; Papalexopoulos, Alex. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:10:p:4085-:d:1146667.

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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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2023.

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2023Intraday power trading: toward an arms race in weather forecasting?. (2023). Wozabal, David ; Kuppelwieser, Thomas. In: OR Spectrum: Quantitative Approaches in Management. RePEc:spr:orspec:v:45:y:2023:i:1:d:10.1007_s00291-022-00698-5.

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Works by Weronika Nitka:

YearTitleTypeCited
2021Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper3
2022Calibration window selection based on change-point detection for forecasting electricity prices In: Papers.
[Full Text][Citation analysis]		paper1
2023Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding? In: Papers.
[Full Text][Citation analysis]		paper4
2023Combining predictive distributions of electricity prices. Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?.(2023) In: Operations Research and Decisions.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 4		article
2021Enhancing load, wind and solar generation for day-ahead forecasting of electricity prices In: Energy Economics.
[Full Text][Citation analysis]		article27
2019Impact of solar activity on precipitation in the United States In: Physica A: Statistical Mechanics and its Applications.
[Full Text][Citation analysis]		article3
2019Day-Ahead vs. Intraday—Forecasting the Price Spread to Maximize Economic Benefits In: Energies.
[Full Text][Citation analysis]		article38
2020Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader In: Energies.
[Full Text][Citation analysis]		article11
2019Balancing RES generation: Profitability of an energy trader In: HSC Research Reports.
[Full Text][Citation analysis]		paper0
2019Enhancing load, wind and solar generation forecasts in day-ahead forecasting of spot and intraday electricity prices In: HSC Research Reports.
[Full Text][Citation analysis]		paper0

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