Grzegorz Marcjasz : Citation Profile

Are you Grzegorz Marcjasz?

Politechnika Wrocławska

10

H index

10

i10 index

366

Citations

RESEARCH PRODUCTION:

14

Articles

16

Papers

RESEARCH ACTIVITY:

   7 years (2016 - 2023). See details.
   Cites by year: 52
   Journals where Grzegorz Marcjasz has often published
   Relations with other researchers
   Recent citing documents: 87.    Total self citations: 21 (5.43 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pma2533
   Updated: 2024-11-04    RAS profile: 2024-08-09    
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Relations with other researchers

Works with:

Weron, Rafał (20)

Uniejewski, Bartosz (6)

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 (49)

Uniejewski, Bartosz (43)

Maciejowska, Katarzyna (32)

Nitka, Weronika (27)

Serafin, Tomasz (21)

Weron, Tomasz (17)

Janczura, Joanna (11)

Grossi, Luigi (5)

Li, Feng (3)

Guo, Bowei (3)

Castle, Jennifer (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 (2024 and 2023)

YearTitle of citing document
2023Hybridising Neurofuzzy Model the Seasonal Autoregressive Models for Electricity Price Forecasting on Germany’s Spot Market. (2023). Bag, Raul Cristian ; Ben-Amor, Souhir ; Balasoiu, Narciz ; Paraschiv, Dorel Mihai. In: The AMFITEATRU ECONOMIC journal. RePEc:aes:amfeco:v:25:y:2023:i:63:p:463.

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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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2023Enhancing Energy System Models Using Better Load Forecasts. (2023). Musgens, Felix ; Grothe, Oliver ; Watermeyer, Mira ; Mobius, Thomas. In: Papers. RePEc:arx:papers:2302.11017.

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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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2023A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling. (2023). Musgens, Felix ; Grothe, Oliver ; Mobius, Thomas ; Watermeyer, Mira. In: Papers. RePEc:arx:papers:2304.09336.

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2023Multivariate Simulation-based Forecasting for Intraday Power Markets: Modelling Cross-Product Price Effects. (2023). Ziel, Florian ; Hirsch, Simon. In: Papers. RePEc:arx:papers:2306.13419.

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2023Statistical electricity price forecasting: A structural approach. (2023). Sgarlato, Raffaele. In: Papers. RePEc:arx:papers:2306.14186.

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2023Combining predictive distributions of electricity prices: Does minimizing the CRPS lead to optimal decisions in day-ahead bidding?. (2023). Weron, Rafal ; Nitka, Weronika. In: Papers. RePEc:arx:papers:2308.15443.

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

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2023Temporal Volatility Surface Projection: Parametric Surface Projection Method for Derivatives Portfolio Risk Management. (2023). Haghighi, Alireza Moslemi ; Zamani, Shiva ; Arian, Hamid. In: Papers. RePEc:arx:papers:2311.14985.

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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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2023The Role of Green Marketing and Promotion of Green Energy Bonds to Reduce Carbon Emissions in Indonesia. (2023). Musa, Hani Amer ; Sabbar, Sabbar Dahham ; Anwar, Anas Iswanto ; Munizu, Musran ; Manan, Arifuddin ; Nohong, Mursalim ; Kadir, Abdul Rahman. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2023-05-10.

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2023Multivariate probabilistic forecasting of intraday electricity prices using normalizing flows. (2023). Dahmen, Manuel ; Mitsos, Alexander ; Witthaut, Dirk ; Cramer, Eike. In: Applied Energy. RePEc:eee:appene:v:346:y:2023:i:c:s0306261923007341.

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2023Offshore wind power system economic evaluation framework under aleatory and epistemic uncertainty. (2023). Salini, Paolo ; Pelagagge, Pacifico M ; Federici, Alessandro ; Caputo, Antonio C. In: Applied Energy. RePEc:eee:appene:v:350:y:2023:i:c:s0306261923009492.

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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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2023Identifying a would-be terrorist: An ineradicable error in the data processing?. (2023). Galam, Serge. In: Chaos, Solitons & Fractals. RePEc:eee:chsofr:v:168:y:2023:i:c:s0960077923000206.

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2023Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme. (2023). Huang, Xiaojia ; Wang, Jianzhou ; Nie, Ying ; Jiang, Ping. In: Energy Economics. RePEc:eee:eneeco:v:117:y:2023:i:c:s0140988322006004.

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2023Foreseeing the worst: Forecasting electricity DART spikes. (2023). Godin, Frederic ; Gauthier, Genevieve ; Galarneau-Vincent, Remi. In: Energy Economics. RePEc:eee:eneeco:v:119:y:2023:i:c:s0140988323000191.

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2023From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting. (2023). Kruger, Fabian ; Kachele, Fabian ; Grothe, Oliver. In: Energy Economics. RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323001007.

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2023Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network. (2023). ben Jabeur, Sami ; Saadaoui, Foued. In: Energy Economics. RePEc:eee:eneeco:v:124:y:2023:i:c:s0140988323002918.

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2023Pricing and hedging wind power prediction risk with binary option contracts. (2023). Date, Paresh ; Hesamzadeh, Mohammad Reza ; Thakur, Jagruti ; Bunn, Derek. In: Energy Economics. RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004589.

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2023Energy poverty prediction and effective targeting for just transitions with machine learning. (2023). Spandagos, Constantine ; Tovar, Miguel Angel ; Lynch, Muireann A. In: Energy Economics. RePEc:eee:eneeco:v:128:y:2023:i:c:s0140988323006291.

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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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2023Time-coupled day-ahead wind power scenario generation: A combined regular vine copula and variance reduction method. (2023). Abhyankar, Abhijit R ; Krishna, Attoti Bharath. In: Energy. RePEc:eee:energy:v:265:y:2023:i:c:s0360544222030596.

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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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2023Forecasting electricity prices with expert, linear, and nonlinear models. (2023). Ravazzolo, Francesco ; del Grosso, Filippo ; Gianfreda, Angelica ; Bille, Anna Gloria. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:570-586.

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2023Forecasting electricity prices using bid data. (2023). Nasirov, Shahriyar ; Martinez, Blanca ; Ciarreta, Aitor. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1253-1271.

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2023LASSO principal component averaging: A fully automated approach for point forecast pooling. (2023). Maciejowska, Katarzyna ; Uniejewski, Bartosz. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:4:p:1839-1852.

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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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2023Does natural resources efficiency provide roadmap for economic development in China? Evidence from econometric analysis. (2023). Shi, Hui ; Dong, Zhu. In: Resources Policy. RePEc:eee:jrpoli:v:86:y:2023:i:pb:s0301420723008383.

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2023Unfolding impact of natural resources, economic growth, and energy nexus on the sustainable environment: Guidelines for green finance goals in 10 Asian countries. (2023). Jamaani, Fouad ; Mohsin, Muhammad. In: Resources Policy. RePEc:eee:jrpoli:v:86:y:2023:i:pb:s0301420723009492.

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2023Analysis of hourly price granularity implementation in the Brazilian deregulated electricity contracting environment. (2023). Pereira, Benvindo Rodrigues ; Lage, Guilherme Guimares ; Faria, Wandry Rodrigues ; Leite, Ciniro Aparecido. In: Utilities Policy. RePEc:eee:juipol:v:81:y:2023:i:c:s0957178723000255.

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2023Cloning mutual fund returns. (2023). Niemann, Sebastian ; Schuhmacher, Frank ; Auer, Benjamin R. In: The Quarterly Review of Economics and Finance. RePEc:eee:quaeco:v:90:y:2023:i:c:p:31-37.

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2023Conversion of anaerobic digestates from biogas plants: Laboratory fertilizer formulation, scale-up and demonstration of applicative properties on plants. (2023). Gil, Filip ; Mikula, Katarzyna ; Trzaska, Krzysztof ; Skrzypczak, Dawid ; Chojnacka, Katarzyna ; Witek-Krowiak, Anna ; Moustakas, Konstantinos ; Polomska, Xymena ; Mironiuk, Magorzata ; Izydorczyk, Grzegorz. In: Renewable Energy. RePEc:eee:renene:v:203:y:2023:i:c:p:506-517.

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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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2023A Predictive Fuzzy Logic Model for Forecasting Electricity Day-Ahead Market Prices for Scheduling Industrial Applications. (2023). Birbas, Alexios ; Alefragis, Panayiotis ; Karampinis, Ioannis ; Plakas, Konstantinos ; Papalexopoulos, Alex. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:10:p:4085-:d:1146667.

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2023Electricity Day-Ahead Market Conditions and Their Effect on the Different Supervised Algorithms for Market Price Forecasting. (2023). Georghiou, George E ; Kyprianou, Andreas ; Theocharides, Spyros ; Konstantinidis, Georgios ; Loizidis, Stylianos. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:12:p:4617-:d:1167834.

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2023Fundamental Shifts in the EU’s Electric Power Sector Development: LMDI Decomposition Analysis. (2023). Olczak, Piotr ; Salashenko, Tetiana ; Ilyash, Olha ; Lippolis, Stella ; Khaustova, Viktoriia ; Koval, Viktor. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:14:p:5478-:d:1197378.

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2023Prediction of Matching Prices in Electricity Markets through Curve Representation. (2023). Alonso, Andres M ; Foronda-Pascual, Daniel. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:23:p:7812-:d:1289042.

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2023ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity Markets—Variance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation. (2023). Janczura, Joanna ; Pu, Andrzej. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:2:p:807-:d:1031193.

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2023A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector. (2023). Vikovi, Alfredo ; Majnari, Darin ; Franki, Vladimir. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:3:p:1077-:d:1040228.

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2023Aggregating Prophet and Seasonal Trend Decomposition for Time Series Forecasting of Italian Electricity Spot Prices. (2023). Santos, Leandro Dos ; Mariani, Viviana Cocco ; Seman, Laio Oriel ; Stefenon, Stefano Frizzo. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:3:p:1371-:d:1049947.

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2023A Review of Energy Management Systems and Organizational Structures of Prosumers. (2023). Sumper, Andreas ; Ljivac, Damir ; Kneevi, Goran ; Nidarec, Matej ; Miljenovi, Nemanja. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:7:p:3179-:d:1113489.

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2023Prediction Error-Based Power Forecasting of Wind Energy System Using Hybrid WT–ROPSO–NARMAX Model. (2023). Chauhdary, Sohaib Tahir ; Honnurvali, Mohamed Shaik ; Baloch, Mazhar Hussain ; Han, Xueshan ; Aftab, Almani A ; Shah, Aamer A. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:7:p:3295-:d:1117701.

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2023A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes. (2023). Quashie, Mike ; Zareipour, Hamidreza ; Lopez, Manuel Zamudio ; Jaimes, Daniel Manfre. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:3:p:28-521:d:1197273.

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2023Searching for Promisingly Trained Artificial Neural Networks. (2023). Garcia-Paricio, Eduardo ; Artal-Sevil, Jesus Sergio ; Dufo-Lopez, Rodolfo ; Lujano-Rojas, Juan M. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:3:p:31-575:d:1232824.

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2024.

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2023Solar Irradiation Forecasting Using Ensemble Voting Based on Machine Learning Algorithms. (2023). Affonso, Carolina M ; Solano, Edna S. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:10:p:7943-:d:1145564.

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2023Sparse regression modeling for short- and long?term natural gas demand prediction. (2023). Ozmen, Aye. In: Annals of Operations Research. RePEc:spr:annopr:v:322:y:2023:i:2:d:10.1007_s10479-021-04089-x.

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2023Multistage optimization filter for trend?based short?term forecasting. (2022). Vinogradov, Dmitri ; Kellard, Neil ; Zafar, Usman. In: Journal of Forecasting. RePEc:wly:jforec:v:41:y:2022:i:2:p:345-360.

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2023Electricity price forecasting using hybrid deep learned networks. (2023). Singh, Jai Govind ; Prakash, Krishna. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:7:p:1750-1771.

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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.
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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]		paper4
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: 4		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]		paper6
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: 6		article
2021Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx In: WORking papers in Management Science (WORMS).
[Full Text][Citation analysis]		paper4
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: 4		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]		paper22
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]		paper81
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: 81		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]		paper4
2022Distributional neural networks for electricity price forecasting In: Papers.
[Full Text][Citation analysis]		paper14
2023Distributional neural networks for electricity price forecasting.(2023) In: Energy Economics.
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This paper has nother version. Agregated cites: 14		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]		article33
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: 33		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]		article29
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
[Full Text][Citation analysis]		article52
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: 52		paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
[Full Text][Citation analysis]		article27
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: 27		paper
2018Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting In: Energies.
[Full Text][Citation analysis]		article35
2018Selection of calibration windows for day-ahead electricity price forecasting.(2018) In: HSC Research Reports.
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This paper has nother version. Agregated cites: 35		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]		article2
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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