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A critical survey of agent-based wholesale electricity market models

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Cited by:

  1. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
  2. Bhagwat, Pradyumna C. & Iychettira, Kaveri K. & Richstein, Jörn C. & Chappin, Emile J.L. & De Vries, Laurens J., 2017. "The effectiveness of capacity markets in the presence of a high portfolio share of renewable energy sources," Utilities Policy, Elsevier, vol. 48(C), pages 76-91.
  3. repec:hal:spmain:info:hdl:2441/5qr7f0k4sk8rbq4do5u6v70rm0 is not listed on IDEAS
  4. repec:hal:spmain:info:hdl:2441/53r60a8s3kup1vc9l564igg8g is not listed on IDEAS
  5. Koppelaar, Rembrandt H.E.M. & Keirstead, James & Shah, Nilay & Woods, Jeremy, 2016. "A review of policy analysis purpose and capabilities of electricity system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1531-1544.
  6. Li, Hongyan & Tesfatsion, Leigh, 2012. "Co-learning patterns as emergent market phenomena: An electricity market illustration," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 395-419.
  7. Albert Banal-Estañol & Augusto Rupérez Micola, 2010. "Are Agent-based Simulations Robust? The Wholesale Electricity Trading Case," Working Papers 443, Barcelona School of Economics.
  8. Kraan, Oscar & Kramer, Gert Jan & Nikolic, Igor & Chappin, Emile & Koning, Vinzenz, 2019. "Why fully liberalised electricity markets will fail to meet deep decarbonisation targets even with strong carbon pricing," Energy Policy, Elsevier, vol. 131(C), pages 99-110.
  9. van der Veen, Reinier A.C. & Abbasy, Alireza & Hakvoort, Rudi A., 2012. "Agent-based analysis of the impact of the imbalance pricing mechanism on market behavior in electricity balancing markets," Energy Economics, Elsevier, vol. 34(4), pages 874-881.
  10. Chen, Yue & Wei, Wei & Liu, Feng & Shafie-khah, Miadreza & Mei, Shengwei & Catalão, João P.S., 2018. "Optimal contracts of energy mix in a retail market under asymmetric information," Energy, Elsevier, vol. 165(PB), pages 634-650.
  11. Newbery, David M. & Greve, Thomas, 2017. "The strategic robustness of oligopoly electricity market models," Energy Economics, Elsevier, vol. 68(C), pages 124-132.
  12. Li, Gong & Shi, Jing & Qu, Xiuli, 2011. "Modeling methods for GenCo bidding strategy optimization in the liberalized electricity spot market–A state-of-the-art review," Energy, Elsevier, vol. 36(8), pages 4686-4700.
  13. Richstein, Jörn C. & Chappin, Emile J.L. & de Vries, Laurens J., 2014. "Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach," Energy Policy, Elsevier, vol. 71(C), pages 139-158.
  14. Mauser, Ingo & Müller, Jan & Allerding, Florian & Schmeck, Hartmut, 2016. "Adaptive building energy management with multiple commodities and flexible evolutionary optimization," Renewable Energy, Elsevier, vol. 87(P2), pages 911-921.
  15. Wei, Yigang & Liang, Xin & Xu, Liang & Kou, Gang & Chevallier, Julien, 2023. "Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling," Energy Economics, Elsevier, vol. 117(C).
  16. Kühnbach, Matthias & Bekk, Anke & Weidlich, Anke, 2022. "Towards improved prosumer participation: Electricity trading in local markets," Energy, Elsevier, vol. 239(PE).
  17. Vijayanarasimha Hindupur Pakka & Richard Mark Rylatt, 2016. "Design and Analysis of Electrical Distribution Networks and Balancing Markets in the UK: A New Framework with Applications," Energies, MDPI, vol. 9(2), pages 1-20, February.
  18. Sommerfeldt, Nelson & Madani, Hatef, 2017. "Revisiting the techno-economic analysis process for building-mounted, grid-connected solar photovoltaic systems: Part one – Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1379-1393.
  19. Safarzynska, Karolina & van den Bergh, Jeroen C.J.M., 2011. "Industry evolution, rational agents and the transition to sustainable electricity production," Energy Policy, Elsevier, vol. 39(10), pages 6440-6452, October.
  20. Bhagwat, Pradyumna C. & Marcheselli, Anna & Richstein, Jörn C. & Chappin, Emile J.L. & De Vries, Laurens J., 2017. "An analysis of a forward capacity market with long-term contracts," Energy Policy, Elsevier, vol. 111(C), pages 255-267.
  21. Zhao, Huan, 2011. "Four Market Studies for the Beef and Electric Power Industries," ISU General Staff Papers 201101010800001360, Iowa State University, Department of Economics.
  22. Block, C. & Collins, J. & Ketter, W. & Weinhardt, C., 2009. "A Multi-Agent Energy Trading Competition," ERIM Report Series Research in Management ERS-2009-054-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  23. Andrea Herbst & Felipe Andrés Toro & Felix Reitze & Eberhard Jochem, 2012. "Introduction to Energy Systems Modelling," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 111-135, June.
  24. Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
  25. Cristina Ballester & Dolores Furió, 2017. "Impact of Wind Electricity Forecasts on Bidding Strategies," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
  26. Roxana Dumitrescu & Marcos Leutscher & Peter Tankov, 2024. "Energy transition under scenario uncertainty: a mean-field game of stopping with common noise," Mathematics and Financial Economics, Springer, volume 18, number 4, December.
  27. Alexander J. M. Kell & Matthew Forshaw & A. Stephen McGough, 2019. "ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning," Papers 1911.01203, arXiv.org.
  28. Liu, Zhen & Zhang, Xiliang & Lieu, Jenny, 2010. "Design of the incentive mechanism in electricity auction market based on the signaling game theory," Energy, Elsevier, vol. 35(4), pages 1813-1819.
  29. Deane, J.P. & Driscoll, Á. & Gallachóir, B.P Ó, 2015. "Quantifying the impacts of national renewable electricity ambitions using a North–West European electricity market model," Renewable Energy, Elsevier, vol. 80(C), pages 604-609.
  30. Foley, A.M. & Ó Gallachóir, B.P. & Hur, J. & Baldick, R. & McKeogh, E.J., 2010. "A strategic review of electricity systems models," Energy, Elsevier, vol. 35(12), pages 4522-4530.
  31. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
  32. David M. Newbery & Thomas Greve, 2013. "The Strategic Robustness of Mark-up Equilibria," Cambridge Working Papers in Economics 1341, Faculty of Economics, University of Cambridge.
  33. repec:hal:wpspec:info:hdl:2441/53r60a8s3kup1vc9l564igg8g is not listed on IDEAS
  34. Mureddu, Mario & Meyer-Ortmanns, Hildegard, 2018. "Extreme prices in electricity balancing markets from an approach of statistical physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1324-1334.
  35. Schlueter, Stephan, 2010. "A long-term/short-term model for daily electricity prices with dynamic volatility," Energy Economics, Elsevier, vol. 32(5), pages 1074-1081, September.
  36. Tomi Medved & Gašper Artač & Andrej F. Gubina, 2018. "The use of intelligent aggregator agents for advanced control of demand response," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 7(3), May.
  37. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.
  38. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," Post-Print hal-03461120, HAL.
  39. Ketter, Wolfgang & Collins, John & Reddy, Prashant, 2013. "Power TAC: A competitive economic simulation of the smart grid," Energy Economics, Elsevier, vol. 39(C), pages 262-270.
  40. Lin-Ju Chen & Lei Zhu & Ying Fan & Sheng-Hua Cai, 2013. "Long-Term Impacts of Carbon Tax and Feed-in Tariff Policies on China's Generating Portfolio and Carbon Emissions: A Multi-Agent-Based Analysis," Energy & Environment, , vol. 24(7-8), pages 1271-1293, December.
  41. Salehizadeh, Mohammad Reza & Soltaniyan, Salman, 2016. "Application of fuzzy Q-learning for electricity market modeling by considering renewable power penetration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1172-1181.
  42. Fangyuan Han & Enrico Zio, 2018. "Modeling an electric power microgrid by model predictive control for analyzing its characteristics from reliability, controllability and topological perspectives," Journal of Risk and Reliability, , vol. 232(2), pages 216-224, April.
  43. Mario Mureddu & Hildegard Meyer-Ortmanns, 2016. "Extreme prices in electricity balancing markets from an approach of statistical physics," Papers 1612.05525, arXiv.org.
  44. Will, Christian & Zimmermann, Florian & Ensslen, Axel & Fraunholz, Christoph & Jochem, Patrick & Keles, Dogan, 2023. "Can electric vehicle charging be carbon neutral? Uniting smart charging and renewables," Working Paper Series in Production and Energy 69, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
  45. Ibrahim Ari & Muammer Koc, 2019. "Sustainable Financing for Sustainable Development: Agent-Based Modeling of Alternative Financing Models for Clean Energy Investments," Sustainability, MDPI, vol. 11(7), pages 1-34, April.
  46. Bunn, Derek W. & Muñoz, José I., 2016. "Supporting the externality of intermittency in policies for renewable energy," Energy Policy, Elsevier, vol. 88(C), pages 594-602.
  47. Tao, Zhenmin & Moncada, Jorge Andrés & Poncelet, Kris & Delarue, Erik, 2021. "Review and analysis of investment decision making algorithms in long-term agent-based electric power system simulation models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
  48. Battula, Swathi & Tesfatsion, Leigh & McDermott, Thomas E., 2020. "An ERCOT test system for market design studies," Applied Energy, Elsevier, vol. 275(C).
  49. Sarıca, Kemal & Kumbaroğlu, Gürkan & Or, Ilhan, 2012. "Modeling and analysis of a decentralized electricity market: An integrated simulation/optimization approach," Energy, Elsevier, vol. 44(1), pages 830-852.
  50. David M. Newbery & Thomas P. Greve, 2015. "The robustness of industrial commodity oligopoly pricing strategies," Cambridge Working Papers in Economics 1540, Faculty of Economics, University of Cambridge.
  51. Mahvi, M. & Ardehali, M.M., 2011. "Optimal bidding strategy in a competitive electricity market based on agent-based approach and numerical sensitivity analysis," Energy, Elsevier, vol. 36(11), pages 6367-6374.
  52. Bhagwat, Pradyumna C. & Iychettira, Kaveri K. & Richstein, Jörn C. & Chappin, Emile J.L. & Vries, Laurens J. De, 2017. "The effectiveness of capacity markets in the presence of a high portfolio share of renewable energy sources," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 48, pages 76-91.
  53. Anatolitis, Vasilios & Welisch, Marijke, 2017. "Putting renewable energy auctions into action – An agent-based model of onshore wind power auctions in Germany," Energy Policy, Elsevier, vol. 110(C), pages 394-402.
  54. Barazza, Elsa & Strachan, Neil, 2020. "The impact of heterogeneous market players with bounded-rationality on the electricity sector low-carbon transition," Energy Policy, Elsevier, vol. 138(C).
  55. Filippos Ioannidis & Kyriaki Kosmidou & Kostas Andriosopoulos & Antigoni Everkiadi, 2021. "Assessment of the Target Model Implementation in the Wholesale Electricity Market of Greece," Energies, MDPI, vol. 14(19), pages 1-22, October.
  56. Niamir, Leila & Filatova, Tatiana & Voinov, Alexey & Bressers, Hans, 2018. "Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes," Energy Policy, Elsevier, vol. 118(C), pages 325-345.
  57. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2021. "Multi-unit multiple bid auctions in balancing markets: An agent-based Q-learning approach," Energy Economics, Elsevier, vol. 93(C).
  58. Ochoa, Camila & van Ackere, Ann, 2015. "Does size matter? Simulating electricity market coupling between Colombia and Ecuador," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1108-1124.
  59. Li, Gong & Shi, Jing, 2012. "Agent-based modeling for trading wind power with uncertainty in the day-ahead wholesale electricity markets of single-sided auctions," Applied Energy, Elsevier, vol. 99(C), pages 13-22.
  60. Kraan, O. & Kramer, G.J. & Nikolic, I., 2018. "Investment in the future electricity system - An agent-based modelling approach," Energy, Elsevier, vol. 151(C), pages 569-580.
  61. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
  62. Ritmeester, Tim & Meyer-Ortmanns, Hildegard, 2021. "Minority games played by arbitrageurs on the energy market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
  63. Alexandre Truc & Muriel Dal Pont Legrand, 2024. "Agent-Based Models: Impact and Interdisciplinary Influences in Economics," GREDEG Working Papers 2024-19, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  64. Ramiz Qussous & Nick Harder & Anke Weidlich, 2022. "Understanding Power Market Dynamics by Reflecting Market Interrelations and Flexibility-Oriented Bidding Strategies," Energies, MDPI, vol. 15(2), pages 1-24, January.
  65. repec:hal:spmain:info:hdl:2441/1nlv566svi86iqtetenms15tc4 is not listed on IDEAS
  66. Holm, Stefan & Thees, Oliver & Lemm, Renato & Olschewski, Roland & Hilty, Lorenz M., 2018. "An agent-based model of wood markets: Scenario analysis," Forest Policy and Economics, Elsevier, vol. 95(C), pages 26-36.
  67. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2017. "How to benefit from a common European electricity market design," Energy Policy, Elsevier, vol. 101(C), pages 629-643.
  68. Soria, Jorge & Moya, Jorge & Mohazab, Amin, 2023. "Optimal mining in proof-of-work blockchain protocols," Finance Research Letters, Elsevier, vol. 53(C).
  69. Tranberg, Bo & Schwenk-Nebbe, Leon J. & Schäfer, Mirko & Hörsch, Jonas & Greiner, Martin, 2018. "Flow-based nodal cost allocation in a heterogeneous highly renewable European electricity network," Energy, Elsevier, vol. 150(C), pages 122-133.
  70. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
  71. Toka, Agorasti & Iakovou, Eleftherios & Vlachos, Dimitrios & Tsolakis, Naoum & Grigoriadou, Anastasia-Loukia, 2014. "Managing the diffusion of biomass in the residential energy sector: An illustrative real-world case study," Applied Energy, Elsevier, vol. 129(C), pages 56-69.
  72. repec:spo:wpmain:info:hdl:2441/5qr7f0k4sk8rbq4do5u6v70rm0 is not listed on IDEAS
  73. Weiss, Olga & Bogdanov, Dmitry & Salovaara, Kaisa & Honkapuro, Samuli, 2017. "Market designs for a 100% renewable energy system: Case isolated power system of Israel," Energy, Elsevier, vol. 119(C), pages 266-277.
  74. repec:spo:wpmain:info:hdl:2441/53r60a8s3kup1vc9l564igg8g is not listed on IDEAS
  75. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
  76. Poghosyan, Anush & Greetham, Danica Vukadinović & Haben, Stephen & Lee, Tamsin, 2015. "Long term individual load forecast under different electrical vehicles uptake scenarios," Applied Energy, Elsevier, vol. 157(C), pages 699-709.
  77. Poplavskaya, Ksenia & Lago, Jesus & de Vries, Laurens, 2020. "Effect of market design on strategic bidding behavior: Model-based analysis of European electricity balancing markets," Applied Energy, Elsevier, vol. 270(C).
  78. Newberry, D., 2012. "The roubstness of agent-based models of electricity wholesale markets," Cambridge Working Papers in Economics 1228, Faculty of Economics, University of Cambridge.
  79. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
  80. Azadeh, A. & Skandari, M.R. & Maleki-Shoja, B., 2010. "An integrated ant colony optimization approach to compare strategies of clearing market in electricity markets: Agent-based simulation," Energy Policy, Elsevier, vol. 38(10), pages 6307-6319, October.
  81. Weiss, Olga & Pareschi, Giacomo & Georges, Gil & Boulouchos, Konstantinos, 2021. "The Swiss energy transition: Policies to address the Energy Trilemma," Energy Policy, Elsevier, vol. 148(PA).
  82. repec:spo:wpmain:info:hdl:2441/2qdhj5485p93jrnf08s1meeap9 is not listed on IDEAS
  83. Esmaeili Aliabadi, Danial & Kaya, Murat & Sahin, Guvenc, 2017. "Competition, risk and learning in electricity markets: An agent-based simulation study," Applied Energy, Elsevier, vol. 195(C), pages 1000-1011.
  84. Mehdi Jabbari Zideh & Seyed Saeid Mohtavipour, 2017. "Two-Sided Tacit Collusion: Another Step towards the Role of Demand-Side," Energies, MDPI, vol. 10(12), pages 1-19, December.
  85. John Dorrell & Keunjae Lee, 2021. "The Price of Wind: An Empirical Analysis of the Relationship between Wind Energy and Electricity Price across the Residential, Commercial, and Industrial Sectors," Energies, MDPI, vol. 14(12), pages 1-21, June.
  86. Zimmermann, Florian & Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2019. "Cross-border effects of capacity remuneration mechanisms: The Swiss case," Working Paper Series in Production and Energy 35, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
  87. Fuentes, Rolando & Sengupta, Abhijit, 2020. "Using insurance to manage reliability in the distributed electricity sector: Insights from an agent-based model," Energy Policy, Elsevier, vol. 139(C).
  88. Weigt, Hannes, 2009. "A Review of Liberalization and Modeling of Electricity Markets," MPRA Paper 65651, University Library of Munich, Germany.
  89. Staudt, Philipp & Oren, Shmuel S., 2021. "Merchant transmission in single-price electricity markets with cost-based redispatch," Energy Economics, Elsevier, vol. 104(C).
  90. Haghnevis, Moeed & Askin, Ronald G. & Armbruster, Dieter, 2016. "An agent-based modeling optimization approach for understanding behavior of engineered complex adaptive systems," Socio-Economic Planning Sciences, Elsevier, vol. 56(C), pages 67-87.
  91. Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Rafal Weron, 2013. "Going green: Agent-based modeling of the diffusion of dynamic electricity tariffs," HSC Research Reports HSC/13/05, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
  92. Weidlich Anke & Veit Daniel, 2008. "Agent-Based Simulations for Electricity Market Regulation Advice: Procedures and an Example," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 149-172, April.
  93. Banal-Estañol, Albert & Rupérez Micola, Augusto, 2011. "Behavioural simulations in spot electricity markets," European Journal of Operational Research, Elsevier, vol. 214(1), pages 147-159, October.
  94. repec:spo:wpecon:info:hdl:2441/53r60a8s3kup1vc9l564igg8g is not listed on IDEAS
  95. Fraunholz, Christoph & Kraft, Emil & Keles, Dogan & Fichtner, Wolf, 2021. "Advanced price forecasting in agent-based electricity market simulation," Applied Energy, Elsevier, vol. 290(C).
  96. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.
  97. Rosen, Christiane & Madlener, Reinhard, 2012. "Auction Design for Local Reserve Energy Markets," FCN Working Papers 7/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Mar 2013.
  98. Jalving, Jordan & Ghouse, Jaffer & Cortes, Nicole & Gao, Xian & Knueven, Bernard & Agi, Damian & Martin, Shawn & Chen, Xinhe & Guittet, Darice & Tumbalam-Gooty, Radhakrishna & Bianchi, Ludovico & Beat, 2023. "Beyond price taker: Conceptual design and optimization of integrated energy systems using machine learning market surrogates," Applied Energy, Elsevier, vol. 351(C).
  99. Kuznetsova, Elizaveta & Li, Yan-Fu & Ruiz, Carlos & Zio, Enrico, 2014. "An integrated framework of agent-based modelling and robust optimization for microgrid energy management," Applied Energy, Elsevier, vol. 129(C), pages 70-88.
  100. Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2017. "An analysis of the decline of electricity spot prices in Europe: Who is to blame?," Energy Policy, Elsevier, vol. 107(C), pages 323-336.
  101. repec:spo:wpmain:info:hdl:2441/1nlv566svi86iqtetenms15tc4 is not listed on IDEAS
  102. Cristian Zambrano & Yris Olaya, 2017. "An agent-based simulation approach to congestion management for the Colombian electricity market," Annals of Operations Research, Springer, vol. 258(2), pages 217-236, November.
  103. Marshall, Luke & Bruce, Anna & MacGill, Iain, 2021. "Assessing wholesale competition in the Australian National Electricity Market," Energy Policy, Elsevier, vol. 149(C).
  104. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2018. "Multi-unit multiple bid auctions in balancing markets: an agent-based Q-learning approach," EWI Working Papers 2018-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  105. Silva, Rodolfo Rodrigues Barrionuevo & Martins, André Christóvão Pio & Soler, Edilaine Martins & Baptista, Edméa Cássia & Balbo, Antonio Roberto & Nepomuceno, Leonardo, 2022. "Two-stage stochastic energy procurement model for a large consumer in hydrothermal systems," Energy Economics, Elsevier, vol. 107(C).
  106. Dina A. Zaki & Mohamed Hamdy, 2022. "A Review of Electricity Tariffs and Enabling Solutions for Optimal Energy Management," Energies, MDPI, vol. 15(22), pages 1-17, November.
  107. Bunn, Derek W. & Martoccia, Maria & Ochoa, Patricia & Kim, Haein & Ahn, Nam-Sung & Yoon, Yong-Beom, 2010. "Vertical integration and market power: A model-based analysis of restructuring in the Korean electricity market," Energy Policy, Elsevier, vol. 38(7), pages 3710-3716, July.
  108. Browne, Oliver & Poletti, Stephen & Young, David, 2015. "How does market power affect the impact of large scale wind investment in 'energy only' wholesale electricity markets?," Energy Policy, Elsevier, vol. 87(C), pages 17-27.
  109. Célia Escribe & Josselin Garnier & Emmanuel Gobet, 2024. "A Mean Field Game Model for Renewable Investment Under Long-Term Uncertainty and Risk Aversion," Dynamic Games and Applications, Springer, vol. 14(5), pages 1093-1130, November.
  110. Müsgens, Felix, 2020. "Equilibrium prices and investment in electricity systems with CO2-emission trading and high shares of renewable energies," Energy Economics, Elsevier, vol. 86(C).
  111. Veit, Daniel J. & Weidlich, Anke & Krafft, Jacob A., 2009. "An agent-based analysis of the German electricity market with transmission capacity constraints," Energy Policy, Elsevier, vol. 37(10), pages 4132-4144, October.
  112. Kuznetsova, Elizaveta & Li, Yan-Fu & Ruiz, Carlos & Zio, Enrico & Ault, Graham & Bell, Keith, 2013. "Reinforcement learning for microgrid energy management," Energy, Elsevier, vol. 59(C), pages 133-146.
  113. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
  114. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2016. "Agent-based modelling and simulation of smart electricity grids and markets – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 205-215.
  115. Rashidova E.A., 2017. "Agent-based modeling of wholesale electricity market," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 17(1), pages 70-85.
  116. Maeder, Mattia & Weiss, Olga & Boulouchos, Konstantinos, 2021. "Assessing the need for flexibility technologies in decarbonized power systems: A new model applied to Central Europe," Applied Energy, Elsevier, vol. 282(PA).
  117. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
  118. repec:hal:spmain:info:hdl:2441/2qdhj5485p93jrnf08s1meeap9 is not listed on IDEAS
  119. Schittekatte, Tim & Momber, Ilan & Meeus, Leonardo, 2018. "Future-proof tariff design: Recovering sunk grid costs in a world where consumers are pushing back," Energy Economics, Elsevier, vol. 70(C), pages 484-498.
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