An adaptive agent model for generator company bidding in the UK power pool

Bagnall, AJ and Smith, GD (2000) An adaptive agent model for generator company bidding in the UK power pool. In: Artificial Evolution. Lecture Notes in Computer Science, 1829 . Springer, pp. 191-203. ISBN 978-3-540-67846-5

Full text not available from this repository. (Request a copy)

Abstract

This paper describes an autonomous adaptive agent model of the UK market in electricity, where the agents represent electricity generating companies. We briefly describe the UK market in electricity generation, then detail the simplifications we have made. Our current model consists of a single adaptive agent bidding against several non-adaptive agents. The adaptive agent uses a hierarchical agent structure with two Learning Classifier Systems to evolve market bidding rules to meet two objectives. We detail how the agent interacts with its environment, the particular problems this environment presents to the agent and the agent and classifier architectures we used in our experiments. We present the results and conclude that using our structure can improve performance.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and Statistics
Depositing User:	Vishal Gautam
Date Deposited:	25 Aug 2011 17:37
Last Modified:	15 Dec 2022 00:53
URI:	https://ueaeprints.uea.ac.uk/id/eprint/22542
DOI:	10.1007/10721187_14

Actions (login required)

View Item