A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance
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DOI: 10.1109/tii.2019.2895054
Abstract: In this paper, a sequence-to-sequence deep learning architecture based on the bidirectional gated recurrent unit (Bi-GRU) for type recognition and time location of combined power quality disturbance is proposed. Especially, the proposed methodology can determine… read more here.
Keywords: type recognition; sequence; sequence sequence; input sequence ... See more keywords