Modeling market pricing in a deregulated environment using adaptive fuzzy inference systems

The focus of this presentation is on the development of a software model that allows an electricity market player to predict future market behavior given a set of indicators. This model should not be just a "black box" mechanism but, rather, it should be interpretable allowing insight as to how these indicators drive the behavior of the market. The method chosen is an extension of the approach termed a probabilistic inference network.