This paper compares the two preference artificial intelligent (AI) techniques, namely, artificial neural network (ANN) and genetic\r\nalgorithm optimized least square support vector machine (GA-LSSVM) approach, to allocate the real power output of individual\r\ngenerators to system loads. Based on solved load flow results, it first uses modified nodal equation method (MNE) to determine\r\nreal power contribution from each generator to loads. Then the results of MNE method and load flow information are utilized\r\nto estimate the power transfer using AI techniques. The 25-bus equivalent system of south Malaysia is utilized as a test system to\r\nillustrate the effectiveness of the AI techniques compared to those of the MNE method. The AI methods provide the results in a\r\nfaster and convenient manner with very good accuracy.
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