Agent-based simulation of power exchange with heterogeneous production companies
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Cited by:
- Davies, G.J. & Kendall, G. & Soane, E. & Li, J. & Rocks, S.A. & Jude, S.R. & Pollard, S.J.T., 2014. "Regulators as agents: modelling personality and power as evidence is brokered to support decisions on environmental risk," LSE Research Online Documents on Economics 51229, London School of Economics and Political Science, LSE Library.
- 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.
More about this item
Keywords
Agent-based simulation; power-exchange market; market power; reinforcement learning; electricity production costs;JEL classification:
- C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
- L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2005-11-19 (Computational Economics)
- NEP-COM-2005-11-19 (Industrial Competition)
- NEP-ENE-2005-11-19 (Energy Economics)
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