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Titlebook: Engineering Interrelated Electricity Markets; An Agent-Based Compu Anke Weidlich Book 2008 Physica-Verlag Heidelberg 2008 Agent-Based Simul

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Introductiong and vertically integrated firms. Models that assume perfect competition are inappropriate for representing this oligopoly of bidders in a realistic manner. While many theoretical approaches assume that market participants will bid competitively, and only interact once, wholesale electricity market
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Agent-Based Computational Economicsid —oftentimes unrealistic —assumptions on the player‘ behavior. Human subject experiments are difficult to apply to electricity market research, as some expertise is necessary to realistically imitate the bidding behavior of a power generator. Hence, experiments are deemed appropriate for simple el
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Representation of Learning and Adaptationpent for justifying the chosen approach. If several models of learning or adaptation are suitable, they may all be used, thereby possibly rejecting those conclusions that are not confirmed by all applied learning models, thus making confirmed simulation results better grounded..Following the aforeme
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Conclusion and Outlookhe developed agent-based simulation model delivers realistic daily and seasonal courses of prices on the day-ahead electricity market and on the balancing power market. It can therefore be used for methodologically supporting questions of how to best . markets in the electricity sector. Some example
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The Beginnings of Cancer in the Cellg and vertically integrated firms. Models that assume perfect competition are inappropriate for representing this oligopoly of bidders in a realistic manner. While many theoretical approaches assume that market participants will bid competitively, and only interact once, wholesale electricity market
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