Stochastic Filtering Methods for Predicting Agent Performance in the Smart Grid

Frontiers in Artificial Intelligence and Applications, pp. 1205-1206, 2014.

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Abstract:

A variety of multiagent systems methods has been proposed for forming cooperatives of interconnected agents representing electricity producers or consumers in the Smart Grid. One major problem that arises in this domain is assessing participating agents uncertainty, and correctly predicting their future behaviour. In this paper, we adopt ...More

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