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• W2112740355 abstract "Electricity market are worldwide transitioning from centrally regulated systems to decentralized markets. The specic characteristic of power exchange, i.e., reduced number of producers, requires proper attention in the policy design in order to guarantee market eciency. In particular, this paper investigates the nature of the clearing mechanism comparing two dierent methods, i.e., discriminatory and uniform auctions. The theoretical framework used to perform the analysis is the theory of learning in games. We consider an inelastic demand faced by sellers which use learning algorithms to understand proper for increasing their prots. We model the auction mechanism in two dierent duopolistic scenario. A low demand situation, where one seller can clear all the demand, and a high demand situation, where both sellers are requested. Heterogeneity in the linear cost function is considered. Consistent results are achieved with the two dierent learning algorithms." @default.
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• W2112740355 date "2005-11-11" @default.
• W2112740355 modified "2023-09-27" @default.
• W2112740355 title "Agent-based simulation of power exchange with heterogeneous production companies" @default.
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