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Self-Supervised Spatio-Temporal Contrastive Learning for FDIA Detection in the Smart Grid

Xiaohan Huang Zhenyong Zhang

自动化学报(英文版)2026,Vol.13Issue(8):1982-1984,3.
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自动化学报(英文版)2026,Vol.13Issue(8):1982-1984,3.DOI:10.1109/JAS.2026.125741

Self-Supervised Spatio-Temporal Contrastive Learning for FDIA Detection in the Smart Grid

Self-Supervised Spatio-Temporal Contrastive Learning for FDIA Detection in the Smart Grid

Xiaohan Huang 1Zhenyong Zhang1

作者信息

  • 1. State Key Laboratory of Public Big Data,the College of Computer Science and Technology,Guizhou University,Guiyang 550000,China
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摘要

引用本文复制引用

Xiaohan Huang,Zhenyong Zhang..Self-Supervised Spatio-Temporal Contrastive Learning for FDIA Detection in the Smart Grid[J].自动化学报(英文版),2026,13(8):1982-1984,3.

基金项目

This work was supported in part by the the Natural Science Foundation of China(62303126,62362008),the Guizhou Provincial Research Program(KJLYRC-(2026)073),the Guizhou Provincial Basic Research Program(Natural Science)(ZD(2026)046),and the Major Research Project of Guizhou Provin-cial Laboratory(QKHPT-SSYS[2024]014). (62303126,62362008)

自动化学报(英文版)

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