Grzegorz Marcjasz : Citation Profile

Politechnika Wrocławska

11

H index

12

i10 index

502

Citations

RESEARCH PRODUCTION:

14

Articles

16

Papers

RESEARCH ACTIVITY:

   7 years (2016 - 2023). See details.
   Cites by year: 71
   Journals where Grzegorz Marcjasz has often published
   Relations with other researchers
   Recent citing documents: 108.    Total self citations: 21 (4.02 %)

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   Permalink: http://citec.repec.org/pma2533
   Updated: 2026-01-10    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:

Weron, Rafał (63)

Uniejewski, Bartosz (57)

Maciejowska, Katarzyna (32)

Nitka, Weronika (27)

Serafin, Tomasz (21)

Weron, Tomasz (17)

Janczura, Joanna (14)

Lipiecki, Arkadiusz (10)

Grossi, Luigi (5)

Rossini, Luca (4)

Pfarrhofer, Michael (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
WORking papers in Management Science (WORMS) / Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology6
HSC Research Reports / Hugo Steinhaus Center, 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. (2024). 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. (2024). Berrisch, Jonathan ; Ziel, Florian. In: Papers. RePEc:arx:papers:2303.10019.

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2025Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Baruník, Jozef ; Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867.

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2024Electricity Price Forecasting in the Irish Balancing Market. (2024). Prestwich, Steven ; Collins, Joseph ; O'Connor, Ciaran ; Visentin, Andrea. In: Papers. RePEc:arx:papers:2402.06714.

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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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2024From day-ahead to mid and long-term horizons with econometric electricity price forecasting models. (2024). Ghelasi, Paul ; Ziel, Florian. In: Papers. RePEc:arx:papers:2406.00326.

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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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2025Online Distributional Regression. (2024). Hirsch, Simon ; Berrisch, Jonathan ; Ziel, Florian. In: Papers. RePEc:arx:papers:2407.08750.

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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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2025Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting. (2025). Hirsch, Simon. In: Papers. RePEc:arx:papers:2504.02518.

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2025Modeling European Electricity Market Integration during turbulent times. (2025). Rossini, Luca ; Ravazzolo, Francesco ; Viselli, Andrea. In: Papers. RePEc:arx:papers:2506.23289.

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2025Isotonic Quantile Regression Averaging for uncertainty quantification of electricity price forecasts. (2025). Lipiecki, Arkadiusz ; Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2507.15079.

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2025Forecasting Probability Distributions of Financial Returns with Deep Neural Networks. (2025). Micha, Jakub. In: Papers. RePEc:arx:papers:2508.18921.

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2025Directional Price Forecasting in the Continuous Intraday Market under Consideration of Neighboring Products and Limit Order Books. (2025). Hornek, Timoth'Ee ; Pavi, Ivan ; Menci, Sergio Potenciano. In: Papers. RePEc:arx:papers:2509.04452.

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2025Driver Identification and PCA Augmented Selection Shrinkage Framework for Nordic System Price Forecasting. (2025). Sadabad, Yousef Adeli ; Hesamzadeh, Mohammad Reza ; Bagherpour, Matin ; Dan, Gyorgy ; Biggar, Darryl R. In: Papers. RePEc:arx:papers:2509.18887.

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2025Joint Bidding on Intraday and Frequency Containment Reserve Markets. (2025). Wozabal, David ; Ridinger, Wolfgang ; Zhang, Yiming. In: Papers. RePEc:arx:papers:2510.03209.

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2025Causal Regime Detection in Energy Markets With Augmented Time Series Structural Causal Models. (2025). Thumm, Dennis. In: Papers. RePEc:arx:papers:2511.04361.

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2025The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets. (2025). O'Connor, Ciaran ; Bahloul, Mohamed ; Visentin, Andrea ; Prestwich, Steven. In: Papers. RePEc:arx:papers:2511.05523.

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2025Statistical and economic evaluation of forecasts in electricity markets: beyond RMSE and MAE. (2025). Lipiecki, Arkadiusz ; Maciejowska, Katarzyna ; Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2511.13616.

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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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2024Has Real Time Spot Electricity Market in India Impacted Day-Ahead Spot Electricity Market?. (2024). Singh, Sweta ; Girish, G P ; Supra, Bharath ; Saran, Rashmita. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2024-05-35.

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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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2024Joint forecasting of source-load-price for integrated energy system based on multi-task learning and hybrid attention mechanism. (2024). Mu, Yuchen ; Yan, YI ; Li, KE ; Wang, Haiyang ; Yang, Fan ; Zhang, Chenghui. 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). 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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2024Multivariate scenario generation of day-ahead electricity prices using normalizing flows. (2024). Dahmen, Manuel ; Gorjo, Leonardo Rydin ; Trebbien, Julius ; Hilger, Hannes ; Cramer, Eike ; Witthaut, Dirk. In: Applied Energy. RePEc:eee:appene:v:367:y:2024:i:c:s030626192400624x.

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2024Probabilistic solar power forecasting: An economic and technical evaluation of an optimal market bidding strategy. (2024). van Sark, W. G. H. J. M., ; Alskaif, T A ; Visser, L R ; Kleissl, J ; Khurram, A. In: Applied Energy. RePEc:eee:appene:v:370:y:2024:i:c:s0306261924009565.

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2024A hybrid framework for day-ahead electricity spot-price forecasting: A case study in China. (2024). Li, LI ; Wang, Kai ; Shi, Jianheng ; Hou, Xuebing ; Zhang, Xiandong ; Huang, Siwan ; Zhong, Ming. 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). Salcedo-Sanz, Sancho ; Deo, Ravinesh C ; Acharya, Rajendra U ; Barua, Prabal Datta ; Sharma, Ekta ; Casillas-Perez, David ; Ghimire, Sujan. In: Applied Energy. RePEc:eee:appene:v:374:y:2024:i:c:s0306261924013035.

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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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2025Demonstration of a low-cost solution for implementing MPC in commercial buildings with legacy equipment. (2025). Sartori, Igor ; Walnum, Harald Taxt ; Gros, Sebastien ; Ward, Peder. In: Applied Energy. RePEc:eee:appene:v:380:y:2025:i:c:s0306261924023961.

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2025Analysis and prediction of incoming wind speed for turbines in complex wind farm: Accounting for meteorological factors and spatiotemporal characteristics of wind farm. (2025). Ma, Wanli ; Zhu, Xiaoxun ; Lu, Hongkun ; Yu, Jinxiao ; Gao, Xiaoxia ; Zhao, Qiansheng ; Wang, YU ; Cao, Jingyuan. In: Applied Energy. RePEc:eee:appene:v:381:y:2025:i:c:s0306261924025194.

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2025Simplicity in dynamic and competitive electricity markets: A case study on enhanced linear models versus complex deep-learning models for day-ahead electricity price forecasting. (2025). Chu, Yinghao ; He, Yingjie ; Duan, Liwu ; Yu, Hanxin ; Chen, Shanlin ; Mao, Xuehui. In: Applied Energy. RePEc:eee:appene:v:383:y:2025:i:c:s0306261924025856.

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2025Enhancing electricity price forecasting accuracy: A novel filtering strategy for improved out-of-sample predictions. (2025). Cerasa, Andrea ; Zani, Alessandro. In: Applied Energy. RePEc:eee:appene:v:383:y:2025:i:c:s030626192500087x.

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2025Digital versus grid investments in electricity distribution grids: Informed decision-making through system dynamics. (2025). Leiva, Jose Angel ; Morais, Hugo ; Ackom, Emmanuel ; Bergaentzl, Claire ; Monaco, Roberto ; Yang, Guangya. In: Applied Energy. RePEc:eee:appene:v:386:y:2025:i:c:s0306261925002661.

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2025Evaluating running strategies for a P2X2P plant. (2025). West, Johan ; Borg, Mats ; Dahal, Ashish ; Prn, Ray. In: Applied Energy. RePEc:eee:appene:v:391:y:2025:i:c:s0306261925005689.

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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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2025Novel deep hybrid model for electricity price prediction based on dual decomposition. (2025). Casillas-Prez, David ; Deo, Ravinesh C ; Nguyen-Huy, Thong ; Ghimire, Sujan ; Salcedo-Sanz, Sancho ; Masrur, A A. In: Applied Energy. RePEc:eee:appene:v:395:y:2025:i:c:s0306261925009274.

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2025On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices. (2025). Brusaferri, Alessandro ; Ballarino, Andrea ; Grossi, Luigi ; Laurini, Fabrizio. In: Applied Energy. RePEc:eee:appene:v:398:y:2025:i:c:s0306261925011420.

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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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2024Forecasting of coal and electricity prices in China: Evidence from the quantum bee colony-support vector regression neural network. (2024). Guo, Zhichen ; Pan, Wenchao ; Luo, Lingle ; Yaxuan, Jiayan Shi. In: Energy Economics. RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324002731.

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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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2025The scheduling role of future pricing information in electricity markets with rising deployments of energy storage: An Australian National Electricity Market case study. (2025). MacGill, Iain ; Bruce, Anna ; Prakash, Abhijith. In: Energy Economics. RePEc:eee:eneeco:v:142:y:2025:i:c:s0140988325000143.

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2025Optimal participation of wind power producers in a hybrid intraday market: A multi-stage stochastic approach. (2025). Oggioni, Giorgia ; Domnguez, Ruth ; Carrin, Miguel. In: Energy Economics. RePEc:eee:eneeco:v:144:y:2025:i:c:s0140988325001264.

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2025Distributional forecasting of electricity DART spreads with a covariate-dependent mixture model. (2025). Augustyniak, Maciej ; Godin, Frdric ; Forgetta, Anthony. In: Energy Economics. RePEc:eee:eneeco:v:144:y:2025:i:c:s0140988325001562.

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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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2024Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method. (2024). Monjazeb, Mohammadreza ; Amiri, Hossein ; Movahedi, Akram. 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). Wang, Zhuo ; Hu, Zhiyuan ; Zhao, Yinghua ; Yang, Rui ; Fang, Liang. 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). Cao, YI ; Yin, Linfei ; 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). Li, Qingxin ; Shi, Ming ; Zheng, Linfeng ; Mi, Hanning ; Xu, Chengke ; Yan, Zheng ; Chen, Sijie ; Hou, Shuoming. 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). Eichman, Josh ; Pallonetto, Fabiano ; Hussain, Zakir ; Teni, Abhishek Prasad ; Kim, Yun-Su ; Zia, Muhammad Fahad ; Alharby, Maher ; Alwayle, Ibrahim M ; Irshad, Reyazur Rashid. 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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2025Fine-tuning enables state of health estimation for lithium-ion batteries via a time series foundation model. (2025). Yang, Zhile ; Yao, Wenjiao ; Du, Guanhao ; Li, Kang ; Zhang, Yanhui ; Tang, Yongbing ; Guo, Yuanjun ; Wang, Xikang ; Xie, Chengde ; Wu, Chengke ; Sun, Wenjie. In: Energy. RePEc:eee:energy:v:318:y:2025:i:c:s0360544224039550.

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2025A novel structural adaptive discrete grey Euler model and its application in clean energy production and consumption. (2025). Narayanan, Govindasami ; Li, Hong-Li ; Xiao, Wenlian ; Yang, Zhongsen ; Kuang, Wenyu ; Wen, Shixiong ; Fan, Neng ; Wang, Yong ; Sapnken, Flavian Emmanuel. In: Energy. RePEc:eee:energy:v:323:y:2025:i:c:s0360544225014495.

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2025Advancing short-term load forecasting with decomposed Fourier ARIMA: A case study on the Greek energy market. (2025). Koulouriotis, Dimitrios E ; Karamolegkos, Spyridon. In: Energy. RePEc:eee:energy:v:325:y:2025:i:c:s0360544225014963.

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2025A novel stacked ensemble framework with the Kolmogorov-Arnold Network for short-term electric load forecasting. (2025). Che, Yanbo ; Abbas, Muhammad ; Khan, Inam Ullah. In: Energy. RePEc:eee:energy:v:332:y:2025:i:c:s0360544225028580.

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2025Value-oriented price forecasting for arbitrage strategies of Energy Storage Systems through loss function tuning. (2025). Toubeau, Jean-Franois ; Delarue, Erik ; Bruninx, Kenneth ; Smets, Ruben ; Dolanyi, Mihaly. In: Energy. RePEc:eee:energy:v:333:y:2025:i:c:s0360544225027549.

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2025Short-term smart grid energy forecasting using a hybrid deep learning method on univariate and multivariate data sets. (2025). Gomez, William ; Wang, Fu-Kwun ; Sheu, Shey-Huei. In: Energy. RePEc:eee:energy:v:335:y:2025:i:c:s0360544225037235.

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

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2024Forecasting day-ahead electricity prices with spatial dependence. (2024). Li, YI ; Yang, Yifan ; Guo, Jue ; Zhou, Jiandong. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:3:p:1255-1270.

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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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2025Sparse time-varying parameter VECMs with an application to modeling electricity prices. (2025). Rossini, Luca ; Pfarrhofer, Michael ; Hauzenberger, Niko. In: International Journal of Forecasting. RePEc:eee:intfor:v:41:y:2025:i:1:p:361-376.

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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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2025Short-term electricity price forecasting through demand and renewable generation prediction. (2025). Perez Caldentey, Esteban ; Segarra-Tamarit, J ; Belenguer, E ; Vidal-Albalate, R ; Prez, E. In: Mathematics and Computers in Simulation (MATCOM). RePEc:eee:matcom:v:229:y:2025:i:c:p:350-361.

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2025Uncertainty reduction in power forecasting of virtual power plant: From day-ahead to balancing markets. (2025). Goto, Mika ; Nadimi, Reza. In: Renewable Energy. RePEc:eee:renene:v:238:y:2025:i:c:s0960148124019438.

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2025From day-ahead to mid and long-term horizons with econometric electricity price forecasting models. (2025). Ghelasi, Paul ; Ziel, Florian. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:217:y:2025:i:c:s1364032125003570.

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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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2025Probabilistic electricity price forecasting by integrating interpretable model. (2025). Jiang, HE ; Wang, Jianzhou ; Dong, Yao. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:210:y:2025:i:c:s0040162524006449.

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

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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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2024Joint Component Estimation for Electricity Price Forecasting Using Functional Models. (2024). Shah, Ismail ; Lisi, Francesco. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:14:p:3461-:d:1434818.

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2024Energy and Carbon Savings in European Households Resulting from Behavioral Changes. (2024). Widera, Barbara. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:16:p:3888-:d:1451294.

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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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2024Attention-Based Load Forecasting with Bidirectional Finetuning. (2024). Smail, Linda ; Matrenin, Pavel ; Senyuk, Mihail ; Safaraliev, Murodbek ; Zicmane, Inga ; Kamalov, Firuz. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:18:p:4699-:d:1482413.

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2024Powering Electricity Forecasting with Transfer Learning. (2024). Moussa, Sherif ; Safaraliev, Murodbek ; Reyes, Jorge Avante ; Sulieman, Hana ; Kamalov, Firuz. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:3:p:626-:d:1328095.

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2025A Comprehensive Analysis of Imbalance Signal Prediction in the Japanese Electricity Market Using Machine Learning Techniques. (2025). Yamada, Yuji ; Jiang, Kaiyao. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:11:p:2680-:d:1661803.

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2025A Review of Electricity Price Forecasting Models in the Day-Ahead, Intra-Day, and Balancing Markets. (2025). Visentin, Andrea ; Prestwich, Steven ; Bahloul, Mohamed ; Oconnor, Ciaran. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:12:p:3097-:d:1677361.

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2025A Comparative Analysis of Price Forecasting Methods for Maximizing Battery Storage Profits. (2025). Maccioni, Alessandro Fiori ; Sbaraglia, Simone ; Zedda, Stefano ; Mahmoudvand, Rahim. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:13:p:3309-:d:1686371.

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2025Estimation and Forecasting of the Average Unit Cost of Energy Supply in a Distribution System Using Multiple Linear Regression and ARIMAX Modeling in Ecuador. (2025). Chasi-Pesantez, Paul Andrs ; Ordoez-Ordoez, Jorge Osmani ; Guerrero-Vsquez, Luis Fernando ; Mendez-Santos, Pablo Alejandro ; Chacn-Reino, Nathalia Alexandra. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:14:p:3659-:d:1699201.

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2025Forecasting Electricity Prices Three Days in Advance: Comparison Between Multilayer Perceptron and Support Vector Machine Networks. (2025). Borkowski, Dariusz ; Jakiewicz, Micha. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:17:p:4744-:d:1743246.

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2025Power System Decision Making in the Age of Deep Learning: A Comprehensive Review. (2025). Kim, Minsoo ; Son, Minjae ; Lim, Yeji ; Song, Keunju ; Park, Kyungnam ; Lee, Haejoong. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:18:p:4867-:d:1748522.

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2025Modeling the Duration of Electricity Price Spikes Using Survival Analysis. (2025). Lpez, Manuel Zamudio ; Zareipour, Hamidreza. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:19:p:5255-:d:1764374.

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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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2025Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors. (2025). Ibebuchi, Chibuike Chiedozie. In: Forecasting. RePEc:gam:jforec:v:7:y:2025:i:2:p:18-:d:1630761.

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2024A Study on the Nature of Complexity in the Spanish Electricity Market Using a Comprehensive Methodological Framework. (2024). Gonzalez, Sandra ; Inglada-Perez, Lucia. In: Mathematics. RePEc:gam:jmathe:v:12:y:2024:i:6:p:893-:d:1358995.

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2025Day-Ahead Electricity Price Forecasting for Sustainable Electricity Markets: A Multi-Objective Optimization Approach Combining Improved NSGA-II and RBF Neural Networks. (2025). Sun, Yumiao ; Song, Shiwei ; Wang, Donglai ; Zhang, Guifan ; Liu, Zhenghan ; Qiu, Shuang. In: Sustainability. RePEc:gam:jsusta:v:17:y:2025:i:10:p:4551-:d:1657146.

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2025A Local-Temporal Convolutional Transformer for Day-Ahead Electricity Wholesale Price Forecasting. (2025). Roussac, Craig A ; Berry, Adam ; Tian, Hongda ; Zhang, Bowen. In: Sustainability. RePEc:gam:jsusta:v:17:y:2025:i:12:p:5533-:d:1680043.

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2025Optimal Placement of Distributed Solar PV Adapting to Electricity Real-Time Market Operation. (2025). Long, Hai ; Chen, XI. In: Sustainability. RePEc:gam:jsusta:v:17:y:2025:i:15:p:6879-:d:1712469.

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2024Forecasting price spikes in day-ahead electricity markets: techniques, challenges, and the road ahead. (2024). Sheybanivaziri, Samaneh ; le Dreau, Jerome ; Kazmi, Hussain. In: Discussion Papers. RePEc:hhs:nhhfms:2024_001.

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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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2025Do global forecasting models require frequent retraining?. (2025). Zanotti, Marco. In: Working Papers. RePEc:mib:wpaper:551.

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2024Evaluating the Role of Information Disclosure on Bidding Behavior in Wholesale Electricity Markets. (2024). Silveira, Douglas ; Eckert, Andrew ; Cajueiro, Daniel ; Brown, David. In: Working Papers. RePEc:ris:albaec:2024_002.

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2025Macro-Financial Determinants of Electricity Power Loss in Uganda. (2025). Kijjambu, Frederick Nsambu ; Musiita, Benjamin ; Twinomuhwezi, Alex. In: Journal of Economics and Behavioral Studies. RePEc:rnd:arjebs:v:17:y:2025:i:1:p:96-107.

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More than 100 citations found, this list is not complete...

Works by Grzegorz Marcjasz:

YearTitleTypeCited
2020Beating the naive: Combining LASSO with naive intraday electricity price forecasts In: WORking papers in Management Science (WORMS).
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2020Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts.(2020) In: Energies.
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This paper has nother version. Agregated cites: 15		article
2020Trading on short-term path forecasts of intraday electricity prices In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper8
2022Trading on short-term path forecasts of intraday electricity prices.(2022) In: Energy Economics.
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This paper has nother version. Agregated cites: 8		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]		paper11
2021Importance of the Long-Term Seasonal Component in Day-Ahead Electricity Price Forecasting Revisited: Parameter-Rich Models Estimated via the LASSO.(2021) In: Energies.
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This paper has nother version. Agregated cites: 11		article
2021Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper15
2023Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx.(2023) In: International Journal of Forecasting.
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This paper has nother version. Agregated cites: 15		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]		paper126
2021Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark.(2021) In: Applied Energy.
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This paper has nother version. Agregated cites: 126		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]		paper7
2022Distributional neural networks for electricity price forecasting In: Papers.
[Full Text][Citation analysis]		paper37
2023Distributional neural networks for electricity price forecasting.(2023) In: Energy Economics.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 37		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]		article38
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: 38		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]		article36
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
[Full Text][Citation analysis]		article60
2018Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO.(2018) In: HSC Research Reports.
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This paper has nother version. Agregated cites: 60		paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
[Full Text][Citation analysis]		article37
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: 37		paper
2018Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting In: Energies.
[Full Text][Citation analysis]		article41
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: 41		paper
2020Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme In: Energies.
[Full Text][Citation analysis]		article9
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]		paper23

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