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Recurrent neural networks (RNNs) have shown clear superiority in sequence modeling, particularly the ones with gated units, such as long short-term memory (LSTM) and gated recurrent unit (GRU). However, the dynamic properties behind the remarkable performance remain unclear in many applications, e.g., automatic speech recognition (ASR). This paper employs visualization techniques to study the behavior...
In modern power system, it is more difficult to maintain stability than ever when system is disturbed by fast phenomena. Training simulator is a useful tool to improve operator's skill in controlling power system in stress conditions after serious contingency. This paper presents a distributed training simulator based on High Level Architecture. The distributed training simulator is consists of Dispatcher...
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