Grzegorz Marcjasz : Citation Profile


Are you Grzegorz Marcjasz?

Politechnika Wrocławska

7

H index

4

i10 index

121

Citations

RESEARCH PRODUCTION:

11

Articles

12

Papers

RESEARCH ACTIVITY:

   5 years (2016 - 2021). See details.
   Cites by year: 24
   Journals where Grzegorz Marcjasz has often published
   Relations with other researchers
   Recent citing documents: 37.    Total self citations: 17 (12.32 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pma2533
   Updated: 2021-10-16    RAS profile: 2021-07-21    
   Missing citations? Add them    Incorrect content? Let us know

Relations with other researchers


Works with:

Weron, Rafał (20)

Uniejewski, Bartosz (10)

Serafin, Tomasz (3)

Jędrzejewski, Arkadiusz (2)

Sznajd-Weron, Katarzyna (2)

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

Is cited by:

Weron, Rafał (32)

Uniejewski, Bartosz (28)

Serafin, Tomasz (21)

Nitka, Weronika (15)

Weron, Tomasz (13)

Maciejowska, Katarzyna (11)

Janczura, Joanna (3)

Sotiros, Dimitrios (2)

Brdulak, Anna (2)

Marques, António (1)

Luna, Ivette (1)

Cites to:

Weron, Rafał (220)

Nowotarski, Jakub (89)

Uniejewski, Bartosz (67)

Trueck, Stefan (29)

Misiorek, Adam (19)

Maciejowska, Katarzyna (17)

Hong, Tao (16)

Lisi, Francesco (14)

Diebold, Francis (12)

Hyndman, Rob (12)

Nan, Fany (11)

Main data


Where Grzegorz Marcjasz has published?


Journals with more than one article published# docs
Energies4
International Journal of Forecasting3
PLOS ONE2

Working Papers Series with more than one paper published# docs
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Technology6
WORking papers in Management Science (WORMS) / Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology4
Papers / arXiv.org2

Recent works citing Grzegorz Marcjasz (2021 and 2020)


YearTitle of citing document
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.

Full description at Econpapers || Download paper

2021Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method. (2021). Sotiros, Dimitrios ; Serafin, Tomasz ; Nitka, Weronika. In: WORking papers in Management Science (WORMS). RePEc:ahh:wpaper:worms2106.

Full description at Econpapers || Download paper

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

Full description at Econpapers || Download paper

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

Full description at Econpapers || Download paper

2021Day-ahead electricity prices prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling. (2021). Becker, Denis Mike ; Li, Wei. In: Papers. RePEc:arx:papers:2101.05249.

Full description at Econpapers || Download paper

2021Optimal bidding on hourly and quarter-hourly day-ahead electricity price auctions: trading large volumes of power with market impact and transaction costs. (2021). Narajewski, Michal ; Ziel, Florian. In: Papers. RePEc:arx:papers:2104.14204.

Full description at Econpapers || Download paper

2021National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?. (2021). Cho, Youngsang ; Lee, Juyong. In: Papers. RePEc:arx:papers:2107.06174.

Full description at Econpapers || Download paper

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.

Full description at Econpapers || Download paper

2020Modeling and forecasting the electricity clearing price: A novel BELM based pattern classification framework and a comparative analytic study on multi-layer BELM and LSTM. (2020). Zheng, Qingru ; Shao, Zhen ; Liu, Chen ; Zhang, Qiang ; Cheng, Manli ; Gao, Fei ; Yang, Shanlin. In: Energy Economics. RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988319304451.

Full description at Econpapers || Download paper

2021Regularized quantile regression averaging for probabilistic electricity price forecasting. (2021). Weron, Rafał ; Uniejewski, Bartosz. In: Energy Economics. RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000268.

Full description at Econpapers || Download paper

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.

Full description at Econpapers || Download paper

2020Conceptualising housing costs: The hidden face of energy poverty in Poland. (2020). Śmiech, Sławomir ; Karpinska, Lilia. In: Energy Policy. RePEc:eee:enepol:v:147:y:2020:i:c:s0301421520305371.

Full description at Econpapers || Download paper

2021Liquidity costs on intraday power markets: Continuous trading versus auctions. (2021). Wozabal, David ; Kuppelwieser, Thomas. In: Energy Policy. RePEc:eee:enepol:v:154:y:2021:i:c:s0301421521001683.

Full description at Econpapers || Download paper

2021Learning spatiotemporal dynamics in wholesale energy markets with dynamic mode decomposition. (2021). Dowling, Alexander W ; Elmore, Clay T. In: Energy. RePEc:eee:energy:v:232:y:2021:i:c:s0360544221012615.

Full description at Econpapers || Download paper

2021Conformal prediction interval estimation and applications to day-ahead and intraday power markets. (2021). Ziel, Florian ; Kath, Christopher. In: International Journal of Forecasting. RePEc:eee:intfor:v:37:y:2021:i:2:p:777-799.

Full description at Econpapers || Download paper

2020Econometric modelling and forecasting of intraday electricity prices. (2020). Ziel, Florian ; Narajewski, Micha. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:19:y:2020:i:c:s2405851319300728.

Full description at Econpapers || Download paper

2020The impact of the integration of renewable energy sources in the electricity price formation: is the Merit-Order Effect occurring in Portugal?. (2020). Damette, Olivier ; Marques, Antonio Cardoso ; Macedo, Daniela Pereira. In: Utilities Policy. RePEc:eee:juipol:v:66:y:2020:i:c:s0957178720300758.

Full description at Econpapers || Download paper

2021Opinion evolution in the Sznajd model on interdependent chains. (2021). Su, Zhan ; Ai, Jun ; Zhao, Mingming ; Shang, Lihui. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:565:y:2021:i:c:s0378437120308566.

Full description at Econpapers || Download paper

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.

Full description at Econpapers || Download paper

2020Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods. (2020). de Almeida, Marcos ; Luna, Ivette ; Oliveira, Domingos S ; Stevan, Sergio L ; Alves, Thiago Antonini ; de Souza, Yara ; Converti, Attilio ; Macedo, Mariana ; Sarubbo, Leonie Asfora ; Siqueira, Hugo. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:16:p:4236-:d:399758.

Full description at Econpapers || Download paper

2020Short-Term Electricity Price Forecasting Based on Similar Day-Based Neural Network. (2020). Wu, Chang-En ; Lee, Chun-Yao. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:17:p:4408-:d:404505.

Full description at Econpapers || Download paper

2020Intraday Electricity Pricing of Night Contracts. (2020). Paraschiv, Florentina ; Kiesel, Rudiger ; Kremer, Marcel. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:17:p:4501-:d:406944.

Full description at Econpapers || Download paper

2020Comparison of Electricity Spot Price Modelling and Risk Management Applications. (2020). Adiyeke, Esra ; Anakolu, Ethem . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:18:p:4698-:d:411305.

Full description at Econpapers || Download paper

2020Energy Modeling of a Refiner in Thermo-Mechanical Pulping Process Using ANFIS Method. (2020). Holmberg, Henrik ; Laukkanen, Timo ; Khosravi, Ali ; Talebjedi, Behnam ; Syri, Sanna ; Vakkilainen, Esa. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:19:p:5113-:d:422541.

Full description at Econpapers || Download paper

2020Determination of Electricity Demand by Personal Light Electric Vehicles (PLEVs): An Example of e-Motor Scooters in the Context of Large City Management in Poland. (2020). Jagodziski, Jacek ; Chaberek, Grayna ; Brdulak, Anna . In: Energies. RePEc:gam:jeners:v:13:y:2020:i:1:p:194-:d:304073.

Full description at Econpapers || Download paper

2020Balancing Generation from Renewable Energy Sources: Profitability of an Energy Trader. (2020). Weron, Tomasz ; Serafin, Tomasz ; Nitka, Weronika ; Zaleski, Przemysaw ; Kath, Christopher. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:1:p:205-:d:304260.

Full description at Econpapers || Download paper

2020Short-Term Electricity Price Forecasting with Recurrent Regimes and Structural Breaks. (2020). Bello, Antonio ; Bunn, Derek W ; de Marcos, Rodrigo A ; Reneses, Javier. In: Energies. RePEc:gam:jeners:v:13:y:2020:i:20:p:5452-:d:431117.

Full description at Econpapers || Download paper

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.

Full description at Econpapers || Download paper

2021Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case. (2021). Ehrhardt, Matthias ; di Persio, Luca ; Viviani, Emma. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:2:p:364-:d:478401.

Full description at Econpapers || Download paper

2021A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings. (2021). Zmeureanu, Radu ; Runge, Jason. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:3:p:608-:d:486810.

Full description at Econpapers || Download paper

2021A Spectral Model of Grid Frequency for Assessing the Impact of Inertia Response on Wind Turbine Dynamics. (2021). Guo, Feng ; Schlipf, David. In: Energies. RePEc:gam:jeners:v:14:y:2021:i:9:p:2492-:d:544353.

Full description at Econpapers || Download paper

2021Short-Term Electricity Price Forecasting by Employing Ensemble Empirical Mode Decomposition and Extreme Learning Machine. (2021). Aslam, Sheraz ; Mustafa, Iqra ; Khan, Sajjad. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:28-477:d:580060.

Full description at Econpapers || Download paper

2021Probabilistic Day-Ahead Wholesale Price Forecast: A Case Study in Great Britain. (2021). Verma, Jake ; Caudron, Julien ; Haben, Stephen. In: Forecasting. RePEc:gam:jforec:v:3:y:2021:i:3:p:38-632:d:623967.

Full description at Econpapers || Download paper

2021Application of Bagging in Day-Ahead Electricity Price Forecasting and Factor Augmentation. (2021). Yildirim, Dilem ; Ozen, Kadir. In: ERC Working Papers. RePEc:met:wpaper:2101.

Full description at Econpapers || Download paper

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.

Full description at Econpapers || Download paper

2020Comparison of Forex Market Forecasting Tools Based on Evolino Ensemble and Technical Analysis Indicators. (2020). Stankeviien, Jelena ; Maknickien, Nijol ; Maknickas, Algirdas. In: Journal for Economic Forecasting. RePEc:rjr:romjef:v::y:2020:i:3:p:134-148.

Full description at Econpapers || Download paper

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.

Full description at Econpapers || Download paper

Works by Grzegorz Marcjasz:


YearTitleTypeCited
2020Beating the naive: Combining LASSO with naive intraday electricity price forecasts In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]
paper6
2020Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts.(2020) In: Energies.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 6
article
2020Trading on short-term path forecasts of intraday electricity prices In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]
paper0
2021Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]
paper0
2021Importance of the Long-Term Seasonal Component in Day-Ahead Electricity Price Forecasting Revisited: Parameter-Rich Models Estimated via the LASSO.(2021) In: Energies.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 0
article
2021Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]
paper0
2020Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark In: Papers.
[Full Text][Citation analysis]
paper1
2021Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark.(2021) In: Applied Energy.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 1
article
2020Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs In: Papers.
[Full Text][Citation analysis]
paper1
2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting In: Energy Economics.
[Full Text][Citation analysis]
article21
2017On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting.(2017) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 21
paper
2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks In: International Journal of Forecasting.
[Full Text][Citation analysis]
article9
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
[Full Text][Citation analysis]
article27
2018Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO.(2018) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 27
paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
[Full Text][Citation analysis]
article8
2018Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?.(2018) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 8
paper
2018Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting In: Energies.
[Full Text][Citation analysis]
article20
2018Selection of calibration windows for day-ahead electricity price forecasting.(2018) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has another version. Agregated cites: 20
paper
2020Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme In: Energies.
[Full Text][Citation analysis]
article4
2016The Hunt Opinion Model—An Agent Based Approach to Recurring Fashion Cycles In: PLOS ONE.
[Full Text][Citation analysis]
article1
2018Think then act or act then think? In: PLOS ONE.
[Full Text][Citation analysis]
article0
2017Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models In: HSC Research Reports.
[Full Text][Citation analysis]
paper7
2018A note on averaging day-ahead electricity price forecasts across calibration windows In: HSC Research Reports.
[Full Text][Citation analysis]
paper16

CitEc is a RePEc service, providing citation data for Economics since 2001. Sponsored by INOMICS. Last updated March, 2 2021. Contact: CitEc Team