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A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance
Research article (IEEE Transactions on Industrial Informatics, 2019) · cited 187× · AI/ML
A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance
Summary
A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance is a scholarly article[1].
Key Facts
A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-sequence-to-sequence-deep-learning-architecture-based-on-bidirectional-gru-for-type-recognition-and-time-location-of-c
MLA“A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-sequence-to-sequence-deep-learning-architecture-based-on-bidirectional-gru-for-type-recognition-and-time-location-of-c.
BibTeX@misc{4ortxyz_a-sequence-to-sequence-deep-learning-architecture-based-on-bidirectional-gru-for-type-recognition-and-time-location-of-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance}}, year = {2026}, url = {https://4ort.xyz/entity/a-sequence-to-sequence-deep-learning-architecture-based-on-bidirectional-gru-for-type-recognition-and-time-location-of-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance — https://4ort.xyz/entity/a-sequence-to-sequence-deep-learning-architecture-based-on-bidirectional-gru-for-type-recognition-and-time-location-of-c (retrieved 2026-05-24)
