Modeling False Data Injection Attacks in Integrated Electricity-Gas Systems

원문 초록

This work studies the modeling of false data injection attacks (FDIAs) in integrated electricity-gas systems (IEGSs). First, we introduce a static state estimation model and bad data detection method for IEGSs. Then, we develop FDIAs on IEGSs with complete network topology and parameter information. Next, we develop FDIAs on IEGSs when intruders have only local network topology and parameter information of an IEGS. Lastly, we explore FDIAs on IEGSs when intruders have only local network topology information of an IEGS.

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arXiv:2503.08907v3cs.LG공통 태그 State Estimation공식 코드 · Papers with Code 등록 2025-03-11 업데이트 2026-11-13

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility

arXiv:2506.11639공통 태그 State Estimation공식 코드 · Papers with Code 등록 2025-06-13

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification

arXiv:2505.11618공통 태그 State Estimation공식 코드 · Papers with Code 등록 2025-05-16

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Modeling False Data Injection Attacks in Integrated Electricity-Gas Systems

원문 초록

함께 살펴볼 논문

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility

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