This PhD thesis thoroughly examines the utilization of deep learning
tec...
Non-adversarial robustness, also known as natural robustness, is a prope...
As phasor measurement units (PMUs) become more widely used in transmissi...
Electrical power systems are increasing in size, complexity, as well as
...
Data-driven state estimation (SE) is becoming increasingly important in
...
The Gaussian Process (GP) based Chance-Constrained Optimal Power Flow
(C...
Nonlinear state estimation (SE), with the goal of estimating complex bus...
Fifth-Generation (5G) networks have a potential to accelerate power syst...
The power system state estimation (SE) algorithm estimates the complex b...
The goal of the state estimation (SE) algorithm is to estimate complex b...