Grzegorz Marcjasz : Citation Profile


Are you Grzegorz Marcjasz?

Politechnika Wrocławska

9

H index

9

i10 index

329

Citations

RESEARCH PRODUCTION:

12

Articles

15

Papers

RESEARCH ACTIVITY:

   6 years (2016 - 2022). See details.
   Cites by year: 54
   Journals where Grzegorz Marcjasz has often published
   Relations with other researchers
   Recent citing documents: 44.    Total self citations: 19 (5.46 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pma2533
   Updated: 2024-01-16    RAS profile: 2022-11-17    
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Relations with other researchers


Works with:

Weron, Rafał (17)

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 (57)

Uniejewski, Bartosz (43)

Maciejowska, Katarzyna (32)

Nitka, Weronika (27)

Serafin, Tomasz (21)

Weron, Tomasz (17)

Janczura, Joanna (11)

Grossi, Luigi (5)

Reade, J (3)

Clements, Michael (3)

Rubaszek, Michał (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
Energies4
International Journal of Forecasting3
PLOS ONE2
Energy Economics2

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 Technology5
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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2023Smoothing 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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2023Multivariate 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). Arian, Hamid ; Haghighi, Alireza Moslemi ; Zamani, Shiva. In: Papers. RePEc:arx:papers:2311.14985.

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2023The Role of Green Marketing and Promotion of Green Energy Bonds to Reduce Carbon Emissions in Indonesia. (2023). Anwar, Anas Iswanto ; Munizu, Musran ; Manan, Arifuddin ; Nohong, Mursalim ; Kadir, Abdul Rahman ; Musa, Hani Amer ; Sabbar, Sabbar Dahham. 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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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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2023Distributional neural networks for electricity price forecasting. (2023). Weron, Rafał ; Ziel, Florian ; Narajewski, Micha ; Marcjasz, Grzegorz. In: Energy Economics. RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003419.

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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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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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2023Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. (2023). Weron, Rafał ; Dubrawski, Artur ; Marcjasz, Grzegorz ; Challu, Cristian ; Olivares, Kin G. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:884-900.

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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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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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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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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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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).
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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).
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paper4
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: 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).
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paper5
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: 5
article
2021Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx In: WORking papers in Management Science (WORMS).
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paper2
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).
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paper23
2020Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark In: Papers.
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paper63
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: 63
article
2020Neural networks in day-ahead electricity price forecasting: Single vs. multiple outputs In: Papers.
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paper4
2022Electricity Price Forecasting: The Dawn of Machine Learning In: Papers.
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paper3
2022Distributional neural networks for electricity price forecasting In: Papers.
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paper6
2019On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting In: Energy Economics.
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article32
2017On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting.(2017) In: HSC Research Reports.
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This paper has nother version. Agregated cites: 32
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.
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article28
2019Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO In: International Journal of Forecasting.
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article51
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: 51
paper
2020Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts? In: International Journal of Forecasting.
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article24
2018Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?.(2018) In: HSC Research Reports.
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This paper has nother version. Agregated cites: 24
paper
2018Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting In: Energies.
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article33
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: 33
paper
2020Forecasting Electricity Prices Using Deep Neural Networks: A Robust Hyper-Parameter Selection Scheme In: Energies.
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article9
2016The Hunt Opinion Model—An Agent Based Approach to Recurring Fashion Cycles In: PLOS ONE.
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article2
2018Think then act or act then think? In: PLOS ONE.
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article2
2017Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models In: HSC Research Reports.
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paper7
2018A note on averaging day-ahead electricity price forecasts across calibration windows In: HSC Research Reports.
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paper20

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