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Found 6 papers, 4 papers with code
Power System Anomaly Detection and Classification Utilizing WLS-EKF State Estimation and Machine Learning
This paper presents a new algorithm for detecting anomaly presence, classifying the anomaly type and identifying the origin of the anomaly, i. e., measurements that contain gross errors in case of bad data, or buses associated with loads experiencing a sudden change, or state variables targeted by false data injection attack.
COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring
The modern artificial intelligence techniques show the outstanding performances in the field of Non-Intrusive Load Monitoring (NILM).
Optimal partitioning in distributed state estimation considering a modified convergence criterion
In this paper, first, a modified convergence criterion is proposed and has been tested for different approaches of DSE problem, considering the most important factors such as iteration number, convergence rate, and data needed to be transferred to/from each area.
Application of blockchain for secure data transmission in distributed state estimation
The application of renewable energy sources in the power grid increases the necessity of tracking the system's state, especially in smart grids, where there is a bidirectional transfer of data and power.
Distributed state estimation: a novel stopping criterion
Centralized state estimation due to the complexity of new networks and growing size of power network will face problems such as communication bottleneck in real-time analyzing of the system or reliability issues.
Geometry of quadratic maps via convex relaxation
We consider several basic questions pertaining to the geometry of image of a general quadratic map.
Optimization and Control
