21 citations · 37 across the 4 of their papers we have counts for
4 papers
Learning Without Adversarial Training: A Physics-Informed Neural Network for Secure Power System State Estimation under False Data Injection Attacks
Solon Falas, Markos Asprou, Charalambos Konstantinou +1
Power System State Estimation (PSSE) converts geographically distributed measurements into the voltage magnitudes and phase angles needed for grid monitoring and control. Learned e…
Robust Power System State Estimation using Physics-Informed Neural Networks
Solon Falas, Markos Asprou, Charalambos Konstantinou +1
Modern power systems face significant challenges in state estimation and real-time monitoring, particularly regarding response speed and accuracy under faulty conditions or cyber-a…
Physics-Informed Neural Networks for Accelerating Power System State Estimation
Solon Falas, Markos Asprou, Charalambos Konstantinou +1
State estimation is the cornerstone of the power system control center since it provides the operating condition of the system in consecutive time intervals. This work investigates…
Monitoring of Low Voltage Distribution Grid Considering the Neutral Conductor
Andreas Kotsonias, Lenos Hadjidemetriou, Markos Asprou +1
The most widely used method for monitoring Low Voltage Distribution Grids (LVDGs) is the three phase Weighted Least Squares (WLS) State Estimation (SE), which was initially develop…