A Knowledge Representation Model For Matchmaking Systems in e-Marketplaces

Peer reviewed: YesNRC publication: Ye

The AgentMatcher architecture applied to power grid transactions

The number of complex transactions in a power grid to determine economical ways of satisfying power demands given a set of power plants has increased significantly. Knowledge-based solution and intelligent computational grids can help in these transactions. This paper presents the application of the AgentMatcher architecture for similarity, pairing and negotiation in order to optimize the transactions in these virtual markets. We use tree similarity and agent pairing to obtain for each buyer (power distributor, a ranking table of candidate sellers (power plants). A similarity based on weight variance and a negotiation algorithm based on priority groups of sellers are also proposed