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Arkadiusz Jędrzejewski
(Arkadiusz Jedrzejewski)

Personal Details

First Name:Arkadiusz
Middle Name:
Last Name:Jedrzejewski
Suffix:
RePEc Short-ID:pjd1
[This author has chosen not to make the email address public]
http://if.pwr.edu.pl/~jedrzejewski/
Terminal Degree:2020 (from RePEc Genealogy)

Affiliation

Katedra Badań Operacyjnych i Inteligencji Biznesowej
Politechnika Wrocławska

Wrocław, Poland
http://kbo.pwr.edu.pl/
RePEc:edi:kbpwrpl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Arkadiusz Jędrzejewski & Katarzyna Sznajd-Weron & Jakub Pawłowski & Anna Kowalska-Pyzalska, 2022. "Purchasing decisions on alternative fuel vehicles within the agent-based model," WORking papers in Management Science (WORMS) WORMS/22/01, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
  2. Arkadiusz Jedrzejewski & Grzegorz Marcjasz & Rafal Weron, 2021. "Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO," WORking papers in Management Science (WORMS) WORMS/21/04, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
  3. Anna Kowalska-Pyzalska & Karolina Cwik & Arkadiusz Jedrzejewski & Katarzyna Sznajd-Weron, 2016. "Linking consumer opinions with reservation prices in an agent-based model of innovation diffusion," HSC Research Reports HSC/16/03, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
  4. Katarzyna Maciejowska & Arkadiusz Jedrzejewski & Anna Kowalska-Pyzalska & Rafal Weron, 2016. "Impact of social interactions on demand curves for innovative products," HSC Research Reports HSC/16/04, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
  5. Katarzyna Maciejowska & Arkadiusz Jedrzejewski & Anna Kowalska-Pyzalska & Katarzyna Sznajd-Weron & Rafal Weron, 2015. "Two faces of word-of-mouth: Understanding the impact of social interactions on demand curves for innovative products," HSC Research Reports HSC/15/09, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
  6. Katarzyna Byrka & Arkadiusz Jedrzejewski & Katarzyna Sznajd-Weron & Rafal Weron, 2015. "Difficulty is critical: Psychological factors in modeling diffusion of green products and practices," HSC Research Reports HSC/15/10, Hugo Steinhaus Center, Wroclaw University of Science and Technology.

Articles

  1. Arkadiusz Jędrzejewski & Grzegorz Marcjasz & Rafał Weron, 2021. "Importance of the Long-Term Seasonal Component in Day-Ahead Electricity Price Forecasting Revisited: Parameter-Rich Models Estimated via the LASSO," Energies, MDPI, vol. 14(11), pages 1-17, June.
  2. Arkadiusz Jędrzejewski & Grzegorz Marcjasz & Paul R Nail & Katarzyna Sznajd-Weron, 2018. "Think then act or act then think?," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-19, November.
  3. Jędrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna, 2018. "Impact of memory on opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 306-315.
  4. Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Szwabiński, Janusz, 2016. "Mapping the q-voter model: From a single chain to complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 446(C), pages 110-119.
  5. Byrka, Katarzyna & Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Weron, Rafał, 2016. "Difficulty is critical: The importance of social factors in modeling diffusion of green products and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 723-735.

Software components

  1. Arkadiusz Jedrzejewski & Grzegorz Marcjasz & Rafal Weron, 2021. "ENERGIES_14_3249_PYTHON: Market data and PYTHON codes for computing electricity spot price forecasts using LASSO-estimated AR (LEAR) models as utilized in Jedrzejewski et al. (2021) Energies 14, 3249," WORMS Software (WORking papers in Management Science Software) WORMS/C/21/03, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
  2. Arkadiusz Jedrzejewski & Grzegorz Marcjasz & Rafal Weron, 2021. "ENERGIES_14_3249_MATLAB: MATLAB codes for computing combinations of electricity spot price forecasts as utilized in Jedrzejewski et al. (2021) Energies 14, 3249," WORMS Software (WORking papers in Management Science Software) WORMS/C/21/02, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Arkadiusz Jedrzejewski & Grzegorz Marcjasz & Rafal Weron, 2021. "Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Parameter-rich models estimated via the LASSO," WORking papers in Management Science (WORMS) WORMS/21/04, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.

    Cited by:

    1. Özen, Kadir & Yıldırım, Dilem, 2021. "Application of bagging in day-ahead electricity price forecasting and factor augmentation," Energy Economics, Elsevier, vol. 103(C).
    2. Tomasz Zema & Adam Sulich, 2022. "Models of Electricity Price Forecasting: Bibliometric Research," Energies, MDPI, vol. 15(15), pages 1-18, August.
    3. Finnah, Benedikt & Gönsch, Jochen & Ziel, Florian, 2022. "Integrated day-ahead and intraday self-schedule bidding for energy storage systems using approximate dynamic programming," European Journal of Operational Research, Elsevier, vol. 301(2), pages 726-746.
    4. Grzegorz Marcjasz & Micha{l} Narajewski & Rafa{l} Weron & Florian Ziel, 2022. "Distributional neural networks for electricity price forecasting," Papers 2207.02832, arXiv.org, revised Dec 2022.
    5. Nazila Pourhaji & Mohammad Asadpour & Ali Ahmadian & Ali Elkamel, 2022. "The Investigation of Monthly/Seasonal Data Clustering Impact on Short-Term Electricity Price Forecasting Accuracy: Ontario Province Case Study," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
    6. Paul Ghelasi & Florian Ziel, 2024. "From day-ahead to mid and long-term horizons with econometric electricity price forecasting models," Papers 2406.00326, arXiv.org, revised Aug 2024.
    7. Katarzyna Maciejowska & Bartosz Uniejewski & Rafa{l} Weron, 2022. "Forecasting Electricity Prices," Papers 2204.11735, arXiv.org.

  2. Anna Kowalska-Pyzalska & Karolina Cwik & Arkadiusz Jedrzejewski & Katarzyna Sznajd-Weron, 2016. "Linking consumer opinions with reservation prices in an agent-based model of innovation diffusion," HSC Research Reports HSC/16/03, Hugo Steinhaus Center, Wroclaw University of Science and Technology.

    Cited by:

    1. Kowalska-Pyzalska, Anna, 2018. "What makes consumers adopt to innovative energy services in the energy market? A review of incentives and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3570-3581.
    2. Jędrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna, 2018. "Impact of memory on opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 306-315.
    3. Tomasz Weron & Anna Kowalska-Pyzalska & Rafal Weron, 2017. "The role of educational trainings in the diffusion of smart metering platforms: An agent-based modeling approach," HSC Research Reports HSC/17/04, Hugo Steinhaus Center, Wroclaw University of Science and Technology.

  3. Katarzyna Maciejowska & Arkadiusz Jedrzejewski & Anna Kowalska-Pyzalska & Rafal Weron, 2016. "Impact of social interactions on demand curves for innovative products," HSC Research Reports HSC/16/04, Hugo Steinhaus Center, Wroclaw University of Science and Technology.

    Cited by:

    1. Paul R. Nail & Katarzyna Sznajd-Weron, 2016. "The diamond model of social response within an agent-based approach," HSC Research Reports HSC/16/02, Hugo Steinhaus Center, Wroclaw University of Science and Technology.

Articles

  1. Arkadiusz Jędrzejewski & Grzegorz Marcjasz & Rafał Weron, 2021. "Importance of the Long-Term Seasonal Component in Day-Ahead Electricity Price Forecasting Revisited: Parameter-Rich Models Estimated via the LASSO," Energies, MDPI, vol. 14(11), pages 1-17, June.
    See citations under working paper version above.
  2. Arkadiusz Jędrzejewski & Grzegorz Marcjasz & Paul R Nail & Katarzyna Sznajd-Weron, 2018. "Think then act or act then think?," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-19, November.

    Cited by:

    1. Galam, Serge, 2023. "Identifying a would-be terrorist: An ineradicable error in the data processing?," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    2. Toth, Gabor & Galam, Serge, 2022. "Deviations from the majority: A local flip model," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).

  3. Jędrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna, 2018. "Impact of memory on opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 306-315.

    Cited by:

    1. Mehic, Adrian, 2020. "The Electoral Consequences of Nuclear Fallout: Evidence from Chernobyl," Working Papers 2020:23, Lund University, Department of Economics.
    2. Boschi, Gioia & Cammarota, Chiara & Kühn, Reimer, 2021. "Opinion dynamics with emergent collective memory: The impact of a long and heterogeneous news history," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    3. Wang, Chaoqian, 2021. "Opinion dynamics with bilateral propaganda and unilateral information blockade," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    4. Peralta, Antonio F. & Khalil, Nagi & Toral, Raúl, 2020. "Ordering dynamics in the voter model with aging," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 552(C).
    5. Mitsokapas, Evangelos & Harris, Rosemary J., 2022. "Decision-making with distorted memory: Escaping the trap of past experience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    6. Oestereich, André L. & Crokidakis, Nuno & Cajueiro, Daniel O., 2022. "Impact of memory and bias in kinetic exchange opinion models on random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    7. Bartłomiej Nowak & Katarzyna Sznajd-Weron, 2019. "Homogeneous Symmetrical Threshold Model with Nonconformity: Independence versus Anticonformity," Complexity, Hindawi, vol. 2019, pages 1-14, April.
    8. Oestereich, A.L. & Pires, M.A. & Duarte Queirós, S.M. & Crokidakis, N., 2020. "Hysteresis and disorder-induced order in continuous kinetic-like opinion dynamics in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).

  4. Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Szwabiński, Janusz, 2016. "Mapping the q-voter model: From a single chain to complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 446(C), pages 110-119.

    Cited by:

    1. Byrka, Katarzyna & Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Weron, Rafał, 2016. "Difficulty is critical: The importance of social factors in modeling diffusion of green products and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 723-735.
    2. Bashari, Masoud & Akbarzadeh-T, Mohammad-R., 2020. "Controlling opinions in Deffuant model by reconfiguring the network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
    3. Tomasz Weron & Anna Kowalska-Pyzalska & Rafal Weron, 2017. "The role of educational trainings in the diffusion of smart metering platforms: An agent-based modeling approach," HSC Research Reports HSC/17/04, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    4. Paul R. Nail & Katarzyna Sznajd-Weron, 2016. "The diamond model of social response within an agent-based approach," HSC Research Reports HSC/16/02, Hugo Steinhaus Center, Wroclaw University of Science and Technology.

  5. Byrka, Katarzyna & Jȩdrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna & Weron, Rafał, 2016. "Difficulty is critical: The importance of social factors in modeling diffusion of green products and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 723-735.

    Cited by:

    1. Shi, Yingying & Zeng, Yongchao & Engo, Jean & Han, Botang & Li, Yang & Muehleisen, Ralph T., 2020. "Leveraging inter-firm influence in the diffusion of energy efficiency technologies: An agent-based model," Applied Energy, Elsevier, vol. 263(C).
    2. Rodrigo A. Estévez & Valeria Espinoza & Roberto D. Ponce Oliva & Felipe Vásquez-Lavín & Stefan Gelcich, 2021. "Multi-Criteria Decision Analysis for Renewable Energies: Research Trends, Gaps and the Challenge of Improving Participation," Sustainability, MDPI, vol. 13(6), pages 1-13, March.
    3. Verena Gruber & Ingrid Peignier & Charlotte Dubuc & Yann-Édouard Cayard & Elinora Pentcheva, 2021. "Analyse des motivations d’achat de camions légers au Canada," CIRANO Project Reports 2021rp-06, CIRANO.
    4. Jędrzejewski, Arkadiusz & Sznajd-Weron, Katarzyna, 2018. "Impact of memory on opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 306-315.
    5. Katarzyna Byrka & Katarzyna Cantarero & Dariusz Dolinski & Wijnand Van Tilburg, 2021. "Consequences of Sisyphean Efforts: Meaningless Effort Decreases Motivation to Engage in Subsequent Conservation Behaviors through Disappointment," Sustainability, MDPI, vol. 13(10), pages 1-27, May.
    6. Tomasz Weron & Anna Kowalska-Pyzalska & Rafal Weron, 2017. "The role of educational trainings in the diffusion of smart metering platforms: An agent-based modeling approach," HSC Research Reports HSC/17/04, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    7. Adu-Gyamfi, Gibbson & Song, Huaming & Nketiah, Emmanuel & Obuobi, Bright & Wu, Qin & Cudjoe, Dan, 2024. "Refueling convenience and range satisfaction in electric mobility: Investigating consumer willingness to use battery swap services for electric vehicles," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    8. Walzberg, Julien & Dandres, Thomas & Merveille, Nicolas & Cheriet, Mohamed & Samson, Réjean, 2019. "Assessing behavioural change with agent-based life cycle assessment: Application to smart homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 365-376.
    9. Anna Kowalska-Pyzalska, 2016. "What makes consumers adopt to innovative energy services in the energy market?," HSC Research Reports HSC/16/09, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    10. Rafał Apriasz & Tyll Krueger & Grzegorz Marcjasz & Katarzyna Sznajd-Weron, 2016. "The Hunt Opinion Model—An Agent Based Approach to Recurring Fashion Cycles," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-19, November.
    11. Zhao, Ting & Yang, Zhenshan, 2017. "Towards green growth and management: Relative efficiency and gaps of Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 481-494.
    12. Hesselink, Laurens X.W. & Chappin, Emile J.L., 2019. "Adoption of energy efficient technologies by households – Barriers, policies and agent-based modelling studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 29-41.
    13. Anna Kowalska-Pyzalska & Katarzyna Byrka & Jakub Serek, 2020. "How to Foster the Adoption of Electricity Smart Meters? A Longitudinal Field Study of Residential Consumers," Energies, MDPI, vol. 13(18), pages 1-19, September.
    14. Charlotte Senkpiel & Audrey Dobbins & Christina Kockel & Jan Steinbach & Ulrich Fahl & Farina Wille & Joachim Globisch & Sandra Wassermann & Bert Droste-Franke & Wolfgang Hauser & Claudia Hofer & Lars, 2020. "Integrating Methods and Empirical Findings from Social and Behavioural Sciences into Energy System Models—Motivation and Possible Approaches," Energies, MDPI, vol. 13(18), pages 1-30, September.
    15. Abbas Mardani & Dalia Streimikiene & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Mehrbakhsh Nilashi & Ahmad Jusoh & Habib Zare, 2017. "Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis," Sustainability, MDPI, vol. 9(10), pages 1-65, October.
    16. Baldi, Lucia & Trentinaglia, Maria Teresa & Mancuso, Teresina & Peri, Massimo, 2021. "Attitude Toward Environmental Protection and Toward Nature: How Do They Shape Consumer Behaviour for a Sustainable Tomato?," 2021 Conference, August 17-31, 2021, Virtual 315181, International Association of Agricultural Economists.
    17. Wang, Ge & Zhang, Qi & Li, Yan & Li, Hailong, 2018. "Policy simulation for promoting residential PV considering anecdotal information exchanges based on social network modelling," Applied Energy, Elsevier, vol. 223(C), pages 1-10.
    18. Agnieszka Kowalska-Styczeń & Krzysztof Malarz, 2020. "Noise induced unanimity and disorder in opinion formation," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-22, July.
    19. Piotr Kulyk & Mariola Michalowska & Lukasz Augustowski, 2020. "Sustainable Consumption in the Market of Food Production: The Case of Lubuskie Voivodeship," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 225-240.
    20. Walzberg, Julien & Dandres, Thomas & Merveille, Nicolas & Cheriet, Mohamed & Samson, Réjean, 2020. "Should we fear the rebound effect in smart homes?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    21. Bartłomiej Nowak & Katarzyna Sznajd-Weron, 2019. "Homogeneous Symmetrical Threshold Model with Nonconformity: Independence versus Anticonformity," Complexity, Hindawi, vol. 2019, pages 1-14, April.

Software components

    Sorry, no citations of software components recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (5) 2015-10-17 2015-10-17 2016-03-23 2016-03-29 2022-02-14. Author is listed
  2. NEP-INO: Innovation (4) 2015-10-17 2015-10-17 2016-03-23 2016-03-29. Author is listed
  3. NEP-ENE: Energy Economics (3) 2015-10-17 2021-04-05 2022-02-14. Author is listed
  4. NEP-HME: Heterodox Microeconomics (3) 2015-10-17 2016-03-23 2022-02-14. Author is listed
  5. NEP-MKT: Marketing (3) 2015-10-17 2016-03-23 2016-03-29. Author is listed
  6. NEP-COM: Industrial Competition (1) 2015-10-17
  7. NEP-DCM: Discrete Choice Models (1) 2022-02-14
  8. NEP-ENV: Environmental Economics (1) 2015-10-17
  9. NEP-FOR: Forecasting (1) 2021-04-05
  10. NEP-HIS: Business, Economic and Financial History (1) 2022-02-14
  11. NEP-ORE: Operations Research (1) 2021-04-05
  12. NEP-SOC: Social Norms and Social Capital (1) 2016-03-29
  13. NEP-TRE: Transport Economics (1) 2022-02-14

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