A Multi-Adaptive Agent Model for Generator Company Bidding in the UK Market in Electricity

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Bagnall, AJ (2000) A Multi-Adaptive Agent Model for Generator Company Bidding in the UK Market in Electricity. In: Genetic and Evolutionary Computation Conference (GECCO-2000), 2000-07-08 - 2000-07-12.

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Abstract

A model of the UK market in electricity combining key factors influencing generator bidding is proposed and a hierarchical multi-objective adaptive agent architecture using case based reasoning and learning classifier systems is described. Experimentation shows that the adaptive agents learn bidding strategies that have been observed in the real world, and that in some market scenarios the agents appear to be learning the benefits of cooperating to receive increased long term rewards. The potential of the adaptive agent model is illustrated by experimentation with an alternative market structure.

Item Type:	Conference or Workshop Item (Paper)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and Statistics
Related URLs:	http://www.cs.bham.ac.uk/~wbl/biblio/gec...
Depositing User:	Vishal Gautam
Date Deposited:	25 Aug 2011 17:30
Last Modified:	23 Sep 2021 00:32
URI:	https://ueaeprints.uea.ac.uk/id/eprint/21584
DOI:

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