Grzegorz Marcjasz : Citation Profile

Politechnika Wrocławska

10

H index

10

i10 index

407

Citations

RESEARCH PRODUCTION:

14

Articles

16

Papers

RESEARCH ACTIVITY:

   7 years (2016 - 2023). See details.
   Cites by year: 58
   Journals where Grzegorz Marcjasz has often published
   Relations with other researchers
   Recent citing documents: 70.    Total self citations: 21 (4.91 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pma2533
   Updated: 2025-04-19    RAS profile: 2024-08-09    
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Relations with other researchers

Works with:

Weron, Rafał (17)

Uniejewski, Bartosz (3)

Jędrzejewski, Arkadiusz (2)

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

Is cited by:

Uniejewski, Bartosz (50)

Weron, Rafał (49)

Maciejowska, Katarzyna (32)

Nitka, Weronika (27)

Serafin, Tomasz (21)

Weron, Tomasz (17)

Janczura, Joanna (14)

Grossi, Luigi (5)

Li, Feng (3)

Reade, J (3)

Franses, Philip Hans (3)

Cites to:

Weron, Rafał (277)

Nowotarski, Jakub (96)

Uniejewski, Bartosz (81)

Trueck, Stefan (29)

Maciejowska, Katarzyna (25)

Misiorek, Adam (24)

Hong, Tao (20)

Hyndman, Rob (17)

Serafin, Tomasz (16)

Lisi, Francesco (15)

Nan, Fany (13)

Main data

Where Grzegorz Marcjasz has published?

Journals with more than one article published# docs
International Journal of Forecasting4
Energies4
Energy Economics3
PLOS ONE2

Working Papers Series with more than one paper published# docs
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Science and Technology6
WORking papers in Management Science (WORMS) / Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology6
Papers / arXiv.org4

Recent works citing Grzegorz Marcjasz (2025 and 2024)

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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2024Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices. (2023). Ziel, Florian ; Berrisch, Jonathan. In: Papers. RePEc:arx:papers:2303.10019.

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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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2024Ranking probabilistic forecasting models with different loss functions. (2024). Uniejewski, Bartosz ; Serafin, Tomasz. In: Papers. RePEc:arx:papers:2411.17743.

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2025A data-driven merit order: Learning a fundamental electricity price model. (2025). Ghelasi, Paul ; Ziel, Florian. In: Papers. RePEc:arx:papers:2501.02963.

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2025OrderFusion: Encoding Orderbook for Probabilistic Intraday Price Prediction. (2025). Yu, Runyao ; Leimgruber, Fabian ; Tao, Yuchen ; Cremer, Jochen L ; Esterl, Tara. In: Papers. RePEc:arx:papers:2502.06830.

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2025Package Bids in Combinatorial Electricity Auctions: Selection, Welfare Losses, and Alternatives. (2025). Hug, Gabriela ; Hubner, Thomas. In: Papers. RePEc:arx:papers:2502.09420.

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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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2025Functional Factor Regression with an Application to Electricity Price Curve Modeling. (2025). Winter, Luis ; Otto, Sven. In: Papers. RePEc:arx:papers:2503.12611.

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2024Principal component analysis of day‐ahead electricity price forecasting in CAISO and its implications for highly integrated renewable energy markets. (2024). Akintunde, Ruth ; Nyangon, Joseph. In: Wiley Interdisciplinary Reviews: Energy and Environment. RePEc:bla:wireae:v:13:y:2024:i:1:n:e504.

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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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2024Joint forecasting of source-load-price for integrated energy system based on multi-task learning and hybrid attention mechanism. (2024). Zhang, Chenghui ; Yan, YI ; Wang, Haiyang ; Yang, Fan ; Mu, Yuchen ; Li, KE. In: Applied Energy. RePEc:eee:appene:v:360:y:2024:i:c:s0306261924002046.

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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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2024A hybrid framework for day-ahead electricity spot-price forecasting: A case study in China. (2024). Zhang, Sui ; Huang, Siwan ; Zhong, Ming ; Li, LI ; Wang, Kai ; Shi, Jianheng ; Hou, Xuebing. In: Applied Energy. RePEc:eee:appene:v:373:y:2024:i:c:s0306261924012467.

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2024Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach. (2024). Ghimire, Sujan ; Salcedo-Sanz, Sancho ; Deo, Ravinesh C ; Acharya, Rajendra U ; Barua, Prabal Datta ; Sharma, Ekta ; Casillas-Perez, David. In: Applied Energy. RePEc:eee:appene:v:374:y:2024:i:c:s0306261924013035.

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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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2024Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method. (2024). Movahedi, Akram ; Amiri, Hossein ; Monjazeb, Mohammad Reza. In: Energy. RePEc:eee:energy:v:290:y:2024:i:c:s0360544223033194.

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2024Research on vehicle speed prediction model based on traffic flow information fusion. (2024). Zhao, Yinghua ; Wang, Zhuo ; Fang, Liang ; Yang, Rui ; Hu, Zhiyuan. In: Energy. RePEc:eee:energy:v:292:y:2024:i:c:s0360544224001877.

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2024Fractional-order long-term price guidance mechanism based on bidirectional prediction with attention mechanism for electric vehicle charging. (2024). Yin, Linfei ; Cao, YI ; Hu, Likun. In: Energy. RePEc:eee:energy:v:293:y:2024:i:c:s0360544224004110.

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2024Strategic bidding by predicting locational marginal price with aggregated supply curve. (2024). Yan, Zheng ; Chen, Sijie ; Hou, Shuoming ; Li, Qingxin ; Shi, Ming ; Zheng, Linfeng ; Mi, Hanning ; Xu, Chengke. In: Energy. RePEc:eee:energy:v:304:y:2024:i:c:s0360544224018838.

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2024Enhancing electric vehicle charging efficiency at the aggregator level: A deep-weighted ensemble model for wholesale electricity price forecasting. (2024). Hussain, Zakir ; Teni, Abhishek Prasad ; Kim, Yun-Su ; Zia, Muhammad Fahad ; Alharby, Maher ; Alwayle, Ibrahim M ; Irshad, Reyazur Rashid ; Eichman, Josh ; Pallonetto, Fabiano. In: Energy. RePEc:eee:energy:v:308:y:2024:i:c:s0360544224025970.

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2024Deep learning-based electricity price forecasting: Findings on price predictability and European electricity markets. (2024). Ritvanen, Jouni ; Aliyon, Kasra. In: Energy. RePEc:eee:energy:v:308:y:2024:i:c:s0360544224026513.

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2024Probabilistic hierarchical forecasting with deep Poisson mixtures. (2024). Dicker, Lee ; Cao, Mengfei ; Reddy, Rohan ; Ma, Ruijun ; Meetei, Nganba O ; Olivares, Kin G. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:470-489.

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2024A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market. (2024). Dinh, Nam Trong ; Cornell, Cameron ; Pourmousavi, Ali S. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1421-1437.

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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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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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2025Forecasting Half-Hourly Electricity Prices Using a Mixed-Frequency Structural VAR Framework. (2025). Kapoor, Gaurav ; Zhang, Wenjun ; Li, Mengheng ; Wichitaksorn, Nuttanan. In: Econometrics. RePEc:gam:jecnmx:v:13:y:2025:i:1:p:2-:d:1562219.

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2024.

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2024Carbon Taxation and Electricity Price Dynamics: Empirical Evidence from the Australian Market. (2024). Comincioli, Nicola ; Guerini, Mattia ; Vergalli, Sergio. In: Environmental & Resource Economics. RePEc:kap:enreec:v:87:y:2024:i:12:d:10.1007_s10640-024-00908-4.

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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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2024Nucleation transitions in polycontextural networks toward consensus. (2024). Falk, Johannes ; Windt, Katja ; Eichler, Edwin ; Htt, Marc-Thorsten. In: The European Physical Journal B: Condensed Matter and Complex Systems. RePEc:spr:eurphb:v:97:y:2024:i:11:d:10.1140_epjb_s10051-024-00826-w.

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2024Anticipatory analysis of AGV trajectory in a 5G network using machine learning. (2024). Pastor, Antonio ; Sierra-Garca, Enrique J ; Vakaruk, Stanislav ; Mozo, Alberto. In: Journal of Intelligent Manufacturing. RePEc:spr:joinma:v:35:y:2024:i:4:d:10.1007_s10845-023-02116-1.

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2024Does a meta-combining method lead to more accurate forecasts in the decision-making process?. (2024). Aras, Serkan ; Gulay, Emrah. In: Operations Research and Decisions. RePEc:wut:journl:v:34:y:2024:i:3:p:101-124:id:6.

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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 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]		paper11
2020Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts.(2020) In: Energies.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 11		article
2020Trading on short-term path forecasts of intraday electricity prices In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper6
2022Trading on short-term path forecasts of intraday electricity prices.(2022) In: Energy Economics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 6		article
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]		paper8
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 nother version. Agregated cites: 8		article
2021Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper5
2023Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx.(2023) In: International Journal of Forecasting.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 5		article
2021Erratum to Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark [Appl. Energy 293 (2021) 116983] In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper23
2023Trading on short-term path forecasts of intraday electricity prices. Part II -- Distributional Deep Neural Networks 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]		paper96
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 nother version. Agregated cites: 96		article
2020Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs In: Papers.
[Full Text][Citation analysis]		paper4
2022Electricity Price Forecasting: The Dawn of Machine Learning In: Papers.
[Full Text][Citation analysis]		paper5
2022Distributional neural networks for electricity price forecasting In: Papers.
[Full Text][Citation analysis]		paper20
2023Distributional neural networks for electricity price forecasting.(2023) In: Energy Economics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 20		article
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]		article34
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 nother version. Agregated cites: 34		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]		article31
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
[Full Text][Citation analysis]		article54
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 nother version. Agregated cites: 54		paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
[Full Text][Citation analysis]		article31
2018Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?.(2018) In: HSC Research Reports.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 31		paper
2018Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting In: Energies.
[Full Text][Citation analysis]		article38
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: 38		paper
2020Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme In: Energies.
[Full Text][Citation analysis]		article8
2016The Hunt Opinion Model—An Agent Based Approach to Recurring Fashion Cycles In: PLOS ONE.
[Full Text][Citation analysis]		article2
2018Think then act or act then think? In: PLOS ONE.
[Full Text][Citation analysis]		article3
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]		paper21

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