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

Research output: Contribution to conferencePaper

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.
Original languageEnglish
Pages605-612
Number of pages8
Publication statusPublished - Jul 2000
EventGenetic and Evolutionary Computation Conference (GECCO-2000) - Las Vegas, Nevada, United States
Duration: 8 Jul 200012 Jul 2000

Conference

ConferenceGenetic and Evolutionary Computation Conference (GECCO-2000)
CountryUnited States
CityLas Vegas, Nevada
Period8/07/0012/07/00

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