Title :
Modeling market pricing in a deregulated environment using adaptive fuzzy inference systems
Author :
Mattson, Chris ; Liu, Chen-Ching ; Lawarree, Jacques
Author_Institution :
Washington Univ., St. Louis, MO, USA
Abstract :
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.
Keywords :
fuzzy set theory; inference mechanisms; power markets; power system analysis computing; power system economics; tariffs; Bayesian analysis; adaptive fuzzy inference systems; deregulation; electric utility industries; electricity market pricing; probabilistic inference network; software model development; Adaptive systems; Bayesian methods; Fuzzy sets; Fuzzy systems; Power industry; Power markets; Power system modeling; Predictive models; Pricing; Software tools;
Conference_Titel :
Power Engineering Society Summer Meeting, 2002 IEEE
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-7518-1
DOI :
10.1109/PESS.2002.1043473
