Identification and correction of abnormal measurement data in power system based on graph convolutional network and gated recurrent unit

Research article (Electric Power Systems Research, 2023) · cited 16× · AI/ML
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Identification and correction of abnormal measurement data in power system based on graph convolutional network and gated recurrent unit

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Identification and correction of abnormal measurement data in power system based on graph convolutional network and gated recurrent unit is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Identification and correction of abnormal measurement data in power system based on graph convolutional network and gated recurrent unit. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-and-correction-of-abnormal-measurement-data-in-power-system-based-on-graph-convolutional-network-and-gate
MLA “Identification and correction of abnormal measurement data in power system based on graph convolutional network and gated recurrent unit.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-and-correction-of-abnormal-measurement-data-in-power-system-based-on-graph-convolutional-network-and-gate.
BibTeX @misc{4ortxyz_identification-and-correction-of-abnormal-measurement-data-in-power-system-based-on-graph-convolutional-network-and-gate_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification and correction of abnormal measurement data in power system based on graph convolutional network and gated recurrent unit}}, year = {2026}, url = {https://4ort.xyz/entity/identification-and-correction-of-abnormal-measurement-data-in-power-system-based-on-graph-convolutional-network-and-gate}, note = {Accessed: 2026-05-24}}
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