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Found 5 papers, 0 papers with code
Modeling False Data Injection Attacks on Integrated Electricity-Gas Systems
Next, we develop FDIAs on IEGSs when intruders have only local network topology and parameter information of an IEGS.
Risk-aware Flexible Resource Utilization in an Unbalanced Three-Phase Distribution Network using SDP-based Distributionally Robust Optimal Power Flow
This paper focuses on how a distribution system operator (DSO), taking over the distribution grid and market operations, would develop a risk-aware flexibility market to mitigate uncertainties in an unbalanced three-phase power distribution network.
Physics-Constrained Backdoor Attacks on Power System Fault Localization
The advances in deep learning (DL) techniques have the potential to deliver transformative technological breakthroughs to numerous complex tasks in modern power systems that suffer from increasing uncertainty and nonlinearity.
Event-driven Two-stage Solution to Non-intrusive Load Monitoring
Existing methods of non-intrusive load monitoring (NILM) in literatures generally suffer from high computational complexity and/or low accuracy in identifying working household appliances.
Non-Intrusive Load Monitoring
Vocal Bursts Valence Prediction
Adaptive Event Detection for Representative Load Signature Extraction
Event detection is the first step in event-based non-intrusive load monitoring (NILM) and it can provide useful transient information to identify appliances.
