Weronika Nitka : Citation Profile


Are you Weronika Nitka?

Politechnika Wrocławska

2

H index

1

i10 index

31

Citations

RESEARCH PRODUCTION:

3

Articles

3

Papers

RESEARCH ACTIVITY:

   2 years (2019 - 2021). See details.
   Cites by year: 15
   Journals where Weronika Nitka has often published
   Relations with other researchers
   Recent citing documents: 25.    Total self citations: 4 (11.43 %)

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   Permalink: http://citec.repec.org/pni435
   Updated: 2021-11-28    RAS profile: 2021-11-23    
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Relations with other researchers


Works with:

Weron, Tomasz (4)

Serafin, Tomasz (3)

Maciejowska, Katarzyna (2)

Weron, Rafał (2)

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

Is cited by:

Uniejewski, Bartosz (7)

Weron, Rafał (7)

Marcjasz, Grzegorz (6)

Serafin, Tomasz (4)

Madlener, Reinhard (1)

Janczura, Joanna (1)

Härdle, Wolfgang (1)

Maciejowska, Katarzyna (1)

Chawla, Yash (1)

Cites to:

Weron, Rafał (44)

Marcjasz, Grzegorz (21)

Serafin, Tomasz (15)

Uniejewski, Bartosz (14)

Gianfreda, Angelica (9)

Nowotarski, Jakub (8)

Paraschiv, Florentina (8)

Weron, Tomasz (7)

Maciejowska, Katarzyna (7)

Pelagatti, Matteo (7)

Trueck, Stefan (4)

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

Recent works citing Weronika Nitka (2021 and 2020)


YearTitle of citing document
2020Beating the naive: Combining LASSO with naive intraday electricity price forecasts. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2001.

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2020PCA forecast averaging - predicting day-ahead and intraday electricity prices. (2020). Uniejewski, Bartosz ; Serafin, Tomasz ; Maciejowska, Katarzyna. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2002.

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2020Trading on short-term path forecasts of intraday electricity prices. (2020). Weron, Rafał ; Chawla, Yash ; Marcjasz, Grzegorz ; Serafin, Tomasz. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2017.

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2020Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories. (2020). Ziel, Florian ; Narajewski, Michal. In: Papers. RePEc:arx:papers:2005.01365.

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2020Optimal Order Execution in Intraday Markets: Minimizing Costs in Trade Trajectories. (2020). Ziel, Florian ; Kath, Christopher. In: Papers. RePEc:arx:papers:2009.07892.

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2020A rolling horizon scheduling of aggregated electric vehicles charging under the electricity exchange market. (2020). Zamora, Ramon ; Lie, T T ; Su, Jun. In: Applied Energy. RePEc:eee:appene:v:275:y:2020:i:c:s0306261920309181.

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2020Ensemble forecasting for intraday electricity prices: Simulating trajectories. (2020). Ziel, Florian ; Narajewski, Micha. In: Applied Energy. RePEc:eee:appene:v:279:y:2020:i:c:s0306261920312824.

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2021Two-stage stochastic optimization frameworks to aid in decision-making under uncertainty for variable resource generators participating in a sequential energy market. (2021). Noor, MD ; Fang, Xin ; Faiz, Tasnim Ibn ; Crespo-Vazquez, Jose L. In: Applied Energy. RePEc:eee:appene:v:292:y:2021:i:c:s0306261921003706.

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2021Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark. (2021). Weron, Rafał ; de Schutter, Bart ; Marcjasz, Grzegorz ; Lago, Jesus. In: Applied Energy. RePEc:eee:appene:v:293:y:2021:i:c:s0306261921004529.

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2021Enhancing load, wind and solar generation for day-ahead forecasting of electricity prices. (2021). Weron, Tomasz ; Nitka, Weronika ; Maciejowska, Katarzyna. In: Energy Economics. RePEc:eee:eneeco:v:99:y:2021:i:c:s014098832100178x.

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2020The way towards European electricity intraday auctions – Status quo and future developments. (2020). Jaenisch, Vincent ; Ocker, Fabian. In: Energy Policy. RePEc:eee:enepol:v:145:y:2020:i:c:s0301421520304572.

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2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: International Journal of Forecasting. RePEc:eee:intfor:v:36:y:2020:i:2:p:466-479.

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2020HousEEC: Day-Ahead Household Electrical Energy Consumption Forecasting Using Deep Learning. (2020). Gjoreski, Hristijan ; Gams, Matja ; Jovanovski, Slobodan ; Ilievski, Igor ; Stankoski, Simon ; Kiprijanovska, Ivana. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:10:p:2672-:d:362866.

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2020PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices. (2020). Serafin, Tomasz ; Uniejewski, Bartosz ; Maciejowska, Katarzyna. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:14:p:3530-:d:382069.

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2020Nearest Neighbors Time Series Forecaster Based on Phase Space Reconstruction for Short-Term Load Forecasting. (2020). Fuerte-Esquivel, Claudio R ; Flores, Juan J ; Cedeo, Jose R ; Moreno-Alcaide, Boris A. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:20:p:5309-:d:426889.

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2020The Impact of Purchasing Group on the Profitability of Companies Operating in the Renewable Energy Sector—The Case of Poland. (2020). Zimon, Dominik. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:24:p:6588-:d:461847.

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2020Optimization of Electric Energy Sales Strategy Based on Probabilistic Forecasts. (2020). Michalak, Aleksandra ; Janczura, Joanna . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:5:p:1045-:d:325457.

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2020Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts. (2020). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:7:p:1667-:d:340785.

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2021Renewable Energy Producers’ Strategies in the Visegrád Group Countries. (2021). Sooducho-Pelc, Letycja ; Sulich, Adam. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:11:p:3048-:d:561369.

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2021The Impact of COVID-19 on Electricity Demand Profiles: A Case Study of Selected Business Clients in Poland. (2021). Kinelski, Grzegorz ; Malec, Marcin ; Czarnecka, Marzena. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:17:p:5332-:d:623370.

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2020Analysis of Strategic Directions in Sustainable Hydrogen Investment Decisions. (2020). Ubay, Gozde Gulseven ; Karaku, Husne ; Diner, Hasan ; Yuksel, Serhat ; Hu, Lanli ; Zhu, LU. In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:11:p:4581-:d:367111.

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2021Short-term electricity price forecastingmodels comparative analysis : Machine Learning vs. Econometrics. (2021). Lantz, Frederic ; Farnoosh, Arash ; Cohet, Tancrede ; Cazelles, Jerome ; de Certaines, Guillaume ; Ferre, Antoine. In: Working Papers. RePEc:hal:wpaper:hal-03262208.

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2021Forecasting Electricity Prices with Expert, Linear and Non-Linear Models. (2021). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: Working Paper series. RePEc:rim:rimwps:21-20.

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2021Concentration Versus Diversification: A Spatial Deployment Approach to Improve the Economics of Wind Power. (2021). Madlener, Reinhard ; Klie, Leo. In: FCN Working Papers. RePEc:ris:fcnwpa:2020_002.

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2021Short-term risk management for electricity retailers under rising shares of decentralized solar generation. (2021). Keles, Dogan ; Bertsch, Valentin ; Kraft, Emil ; Russo, Marianna. In: Working Paper Series in Production and Energy. RePEc:zbw:kitiip:57.

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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).
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paper1
2019Impact of solar activity on precipitation in the United States In: Physica A: Statistical Mechanics and its Applications.
[Full Text][Citation analysis]
article0
2019Day-Ahead vs. Intraday—Forecasting the Price Spread to Maximize Economic Benefits In: Energies.
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article25
2020Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader In: Energies.
[Full Text][Citation analysis]
article5
2019Balancing RES generation: Profitability of an energy trader In: HSC Research Reports.
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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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