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In this paper, a distributed Expectation Maximization (EM) algorithm is proposed for estimating parameters of a Gaussian mixture model in a peer-to-peer network. This algorithm is used for density estimation and clustering of data distributed over nodes of a network. Scalability and fault tolerance are two important advantages of this method. In the E-step of this algorithm, each node calculates local...
Voltage stability is one of the major concerns in competitive electricity markets. In this paper, RBF neural network is applied to predict the static voltage stability index and rank the critical line outage contingencies. Three distinct feature extraction algorithms are proposed to speedup the neural network training process via reducing the input training vectors dimensions. Based on the weak buses...
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