Bad data recovery of smart substation remote terminal units based on spatio-temporal multi-view learning
Maintanence and Inspection based on AI|更新时间:2026-03-09
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Bad data recovery of smart substation remote terminal units based on spatio-temporal multi-view learning
“The research progress in the field of intelligent substations was introduced, and relevant experts established a centralized FDIA model and explored a bad data recovery strategy based on spatiotemporal multi view learning, providing an effective solution to the data security problem under false data injection attacks.”
BLASTINGVol. 48, Issue 2, Pages: 15-26(2026)
作者机构:
1.国网江苏省电力有限公司泰州供电分公司,江苏 泰州 225300
2.南京邮电大学 自动化学院,南京 210023
作者简介:
基金信息:
National Natural Science Foundation of China(52107101)
XU Jiahao,XU Junjun.Bad data recovery of smart substation remote terminal units based on spatio-temporal multi-view learning[J].BLASTING,2026,48(02):15-26.
XU Jiahao,XU Junjun.Bad data recovery of smart substation remote terminal units based on spatio-temporal multi-view learning[J].BLASTING,2026,48(02):15-26. DOI: 10.3969/j.issn.2097-0706.2026.02.002.
Bad data recovery of smart substation remote terminal units based on spatio-temporal multi-view learning