A high-performance predictor for critical 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). https://www.herbsdailyes.shop/product-category/tyrosine/
High-performance predictor for critical unstable generators based on scalable parallelized neural networks
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