High-performance predictor for critical unstable generators based on scalable parallelized neural networks
A high-performance predictor for critical Under unstable generators (CUGs) of power systems is presented in this paper.The predictor is driven by the MapReduce based parallelized neural networks.Specifically, a group of back propagation neural networks (BPNNs), fed by massive response trajectories data, are efficiently organized and concurrently tr