Online transient stability assessment of a power system is not yetfeasible due to the intensive computation involved. Artificial neuralnetworks have been proposed as one of the approaches to this problembecause of its ability to quickly map nonlinear relationships between theinput data and the output. This paper presents a methodology forestimating the normalized transient stability margin by using themultilayered perceptron neural network. The complex relationshipbetween the input variables ...