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Agent-Based Simulations for Electricity Market Regulation Advice: Procedures and an Example

  • Anke Weidlich


    (Universitaet Mannheim)

  • Daniel Veit


    (Universitaet Mannheim)

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    This paper discusses the use of agent-based simulation models for regulatory advice in electricity market regulation. It briefly introduces the necessary procedures and the state-of-the-art of the methodology, and outlines its possible range of application. In a second part, the paper presents an agent-based simulation model developed by the authors. The model can be applied for analyzing different market designs and market structures in order to derive evidence for regulatory advice. This is exemplified trough the analysis of two settlement rules in the balancing power market and of several divestiture scenarios of the German electricity sector.

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    Article provided by Justus-Liebig University Giessen, Department of Statistics and Economics in its journal Journal of Economics and Statistics.

    Volume (Year): 228 (2008)
    Issue (Month): 2+3 (June)
    Pages: 149-172

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    Handle: RePEc:jns:jbstat:v:228:y:2008:i:2-3:p:149-172
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    13. Matteo Richiardi & Roberto Leombruni & Nicole J. Saam & Michele Sonnessa, 2006. "A Common Protocol for Agent-Based Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 15.
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