An agent-based analysis of the German electricity market with transmission capacity constraints
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References listed on IDEAS
- Paul L. Joskow, 2001. "California's Electricity Crisis," Oxford Review of Economic Policy, Oxford University Press, vol. 17(3), pages 365-388.
- Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
- Brunekreeft, Gert & Neuhoff, Karsten & Newbery, David, 2005.
"Electricity transmission: An overview of the current debate,"
Elsevier, vol. 13(2), pages 73-93, June.
- Brunekreeft, G. & Neuhoff, K. & Newbery, D., 2004. "Electricity transmission: an overview of the current debate," Cambridge Working Papers in Economics 0463, Faculty of Economics, University of Cambridge.
- Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
- 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.
- Hurlbut, David & Rogas, Keith & Oren, Shmuel, 2004. "Protecting the Market from "Hockey Stick" Pricing: How the Public Utility Commission of Texas is Dealing with Potential Price Gouging," The Electricity Journal, Elsevier, vol. 17(3), pages 26-33, April.
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- van Blijswijk, Martti J. & de Vries, Laurens J., 2012. "Evaluating congestion management in the Dutch electricity transmission grid," Energy Policy, Elsevier, vol. 51(C), pages 916-926.
- 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.
- Liu, Beibei & He, Pan & Zhang, Bing & Bi, Jun, 2012. "Impacts of alternative allowance allocation methods under a cap-and-trade program in power sector," Energy Policy, Elsevier, vol. 47(C), pages 405-415.
- Aliabadi, Danial Esmaeili & Kaya, Murat & Şahin, Güvenç, 2017. "An agent-based simulation of power generation company behavior in electricity markets under different market-clearing mechanisms," Energy Policy, Elsevier, vol. 100(C), pages 191-205.
- 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.
- 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.
- Rahimiyan, Morteza, 2014. "A statistical cognitive model to assess impact of spatially correlated wind production on market behaviors," Applied Energy, Elsevier, vol. 122(C), pages 62-72.
- 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.
- Yousefi, Shaghayegh & Moghaddam, Mohsen Parsa & Majd, Vahid Johari, 2011. "Optimal real time pricing in an agent-based retail market using a comprehensive demand response model," Energy, Elsevier, vol. 36(9), pages 5716-5727.
- repec:gam:jsusta:v:9:y:2017:i:8:p:1318-:d:106509 is not listed on IDEAS
- 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.
- repec:eee:enepol:v:110:y:2017:i:c:p:394-402 is not listed on IDEAS
- repec:eee:appene:v:195:y:2017:i:c:p:1000-1011 is not listed on IDEAS
- repec:gam:jeners:v:10:y:2017:i:12:p:2045-:d:121412 is not listed on IDEAS
More about this item
KeywordsAgent-based simulation Wholesale power markets Transmission grid;
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