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Various techniques have been implemented to include steady state security assessment in the analysis of trading in deregulated power system, however most of these techniques lack requirements of fast computational time with acceptable accuracy. The problem is compounded further by the requirements to consider bus voltages and thermal line limits. This work addresses the problem by presenting the analysis and management of power transaction between power producers and customers in the deregulated system using the application of Artificial Intelligence (AI) techniques such as Neural Network (ANN), Decision Tree (DT) techniques and Adaptive Network based Fuzzy Inference System (ANFIS).
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