Weronika Nitka : Citation Profile

Politechnika Wrocławska

4

H index

4

i10 index

112

Citations

RESEARCH PRODUCTION:

5

Articles

5

Papers

RESEARCH ACTIVITY:

   4 years (2019 - 2023). See details.
   Cites by year: 28
   Journals where Weronika Nitka has often published
   Relations with other researchers
   Recent citing documents: 34.    Total self citations: 8 (6.67 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pni435
   Updated: 2025-12-20    RAS profile: 2023-11-28    
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Relations with other researchers

Works with:

Weron, Rafał (3)

Serafin, Tomasz (2)

Weron, Tomasz (2)

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 (19)

Uniejewski, Bartosz (16)

Marcjasz, Grzegorz (10)

Janczura, Joanna (7)

Maciejowska, Katarzyna (7)

Serafin, Tomasz (4)

Gianfreda, Angelica (3)

Billé, Anna Gloria (3)

Russo, Marianna (2)

Lipiecki, Arkadiusz (2)

Bertsch, Valentin (2)

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)

Trueck, Stefan (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 (2025 and 2024)

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

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2024Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression. (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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2024Multiple split approach -- multidimensional probabilistic forecasting of electricity markets. (2024). Nitka, Weronika ; Maciejowska, Katarzyna. In: Papers. RePEc:arx:papers:2407.07795.

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2025Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market. (2025). Chke, Katarzyna ; Uniejewski, Bartosz ; Weron, Rafal. In: Papers. RePEc:arx:papers:2503.02518.

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2024Seizing unconventional arbitrage opportunities in virtual power plants: A profitable and flexible recruitment approach. (2024). Lu, Xin ; Qiu, Jing ; Zhu, Jianguo ; Lei, Gang ; Zhang, Cuo. 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). Pineau, Pierre-Olivier ; Charlin, Laurent ; 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). Loizidis, Stylianos ; Georghiou, George E ; Kyprianou, Andreas. 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). Nie, Ying ; Li, Ping ; Zhang, Lifang ; Wang, Jianzhou. In: Applied Energy. RePEc:eee:appene:v:366:y:2024:i:c:s0306261924006160.

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2024A hybrid physics-based and data-driven model for intra-day and day-ahead wind power forecasting considering a drastically expanded predictor search space. (2024). Kirchner-Bossi, Nicolas ; Kathari, Gabriel ; Porte-Agel, Fernando. In: Applied Energy. RePEc:eee:appene:v:367:y:2024:i:c:s030626192400758x.

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2025Bayesian hierarchical probabilistic forecasting of intraday electricity prices. (2025). Mller, Gernot ; Nickelsen, Daniel. In: Applied Energy. RePEc:eee:appene:v:380:y:2025:i:c:s0306261924023596.

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2025Univariate and multivariate forecasting of the electricity futures curve using Dynamic Recurrent Neural Networks. (2025). Castello, Oleksandr ; Resta, Marina. In: Applied Energy. RePEc:eee:appene:v:394:y:2025:i:c:s0306261925008128.

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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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2024Weather conditions, climate change, and the price of electricity. (2024). Uribe, Jorge ; Mosquera-López, Stephania ; Joaqui-Barandica, Orlando ; Mosquera-Lopez, Stephania. In: Energy Economics. RePEc:eee:eneeco:v:137:y:2024:i:c:s0140988324004973.

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2024Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression. (2024). Weron, Rafał ; Uniejewski, Bartosz ; Lipiecki, Arkadiusz. In: Energy Economics. RePEc:eee:eneeco:v:139:y:2024:i:c:s014098832400642x.

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2025Multivariate probabilistic forecasting of electricity prices with trading applications. (2025). Petukhina, Alla ; Kozmik, Karel ; Kopa, Milos ; Hrdle, Wolfgang Karl ; Agakishiev, Ilyas. In: Energy Economics. RePEc:eee:eneeco:v:141:y:2025:i:c:s0140988324007163.

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2025Loss functions in regression models: Impact on profits and risk in day-ahead electricity trading. (2025). Weron, Rafał ; Serafin, Tomasz. In: Energy Economics. RePEc:eee:eneeco:v:148:y:2025:i:c:s0140988325004207.

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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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2024Multivariate probabilistic CRPS learning with an application to day-ahead electricity prices. (2024). Berrisch, Jonathan ; Ziel, Florian. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1568-1586.

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2025Extrapolating the long-term seasonal component of electricity prices for forecasting in the day-ahead market. (2025). Weron, Rafa ; Uniejewski, Bartosz ; Che, Katarzyna. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:37:y:2025:i:c:s2405851324000680.

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2024Tool for optimization of sale and storage of energy in wind farms. (2024). Aparicio, Nestor ; Pearrocha-Alos, Ignacio ; Perez, Emilio ; Celades, Eloy. In: Mathematics and Computers in Simulation (MATCOM). RePEc:eee:matcom:v:224:y:2024:i:pb:p:2-18.

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2025High-resolution working layouts and time series for renewable energy generation in Europe. (2025). Kchele, Fabian ; Grothe, Oliver ; Wlde, Mira. In: Renewable Energy. RePEc:eee:renene:v:239:y:2025:i:c:s0960148124020354.

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

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2024Power load forecasting based on spatial–temporal fusion graph convolution network. (2024). Dong, Yawei ; Wang, Jianzhou ; Jiang, HE. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:204:y:2024:i:c:s0040162524002312.

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2024Intraday Electricity Price Forecasting via LSTM and Trading Strategy for the Power Market: A Case Study of the West Denmark DK1 Grid Region. (2024). Nielsen, Peter ; Kili, Deniz Kenan ; Thibbotuwawa, Amila. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:12:p:2909-:d:1414040.

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2024Dealing with Anomalies in Day-Ahead Market Prediction Using Machine Learning Hybrid Model. (2024). Kania, Krzysztof ; Pilot, Karol ; Ganczarek-Gamrot, Alicja. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:17:p:4436-:d:1471177.

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2024Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue. (2024). Pijarski, Pawe ; Belowski, Adrian. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:2:p:516-:d:1323113.

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2025Renewable Electricity Management Cloud System for Smart Communities Using Advanced Machine Learning. (2025). Gao, Jerry ; Mehta, Vijen ; Lo, Vincent ; Agrawal, Kunal ; Madabathula, Charan Teja ; Chang, Eugene. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:6:p:1418-:d:1611318.

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2025The Impact of Meteorological Data on the Accuracy of Solar Electricity Generation Forecasting Using Neural Networks. (2025). Sayenko, Yuriy ; Pawelek, Ryszard ; Baranenko, Tetiana ; Liubartsev, Vadym. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:9:p:2309-:d:1647371.

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2024Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study. (2024). Quashie, Mike ; Lopez, Manuel Zamudio ; Zareipour, Hamidreza. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:1:p:7-137:d:1331777.

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2024From the East-European Regional Day-Ahead Markets to a Global Electricity Market. (2024). Oprea, Simona-Vasilica ; Tudoric, Bogdan George ; Bara, Adela. In: Computational Economics. RePEc:kap:compec:v:63:y:2024:i:6:d:10.1007_s10614-023-10416-0.

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2025Expectile regression averaging method for probabilistic forecasting of electricity prices. (2025). Janczura, Joanna. In: Computational Statistics. RePEc:spr:compst:v:40:y:2025:i:2:d:10.1007_s00180-024-01508-y.

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2025A mean field game model for optimal trading in the intraday electricity market. (2025). Coskun, Sema ; Korn, Ralf. In: Decisions in Economics and Finance. RePEc:spr:decfin:v:48:y:2025:i:1:d:10.1007_s10203-024-00445-1.

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2024Regularization for electricity price forecasting. (2024). Uniejewski, Bartosz. In: Operations Research and Decisions. RePEc:wut:journl:v:34:y:2024:i:3:p:267-286:id:14.

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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]		paper12
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: 12		article
2021Enhancing load, wind and solar generation for day-ahead forecasting of electricity prices In: Energy Economics.
[Full Text][Citation analysis]		article40
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]		article41
2020Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader In: Energies.
[Full Text][Citation analysis]		article12
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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