An active machine learning technique for monitoring the voltage stability in transmission
systems is presented. It has been shown that machine learning algorithms may be used to …

Operation of distribution networks undergoes dramatic changes in the era of smart grid
deployment, due to the higher penetration of distributed generation (usually from intermittent …

The presence of distributed generation (DG) in distribution networks may seriously affect
accuracy of the voltage sag based fault location method. An approach toward quantifying the …

We propose a random linear differential equation with jumps to model the dynamics of
breast tumor growth using real patients' data. The model considers the effect of …

Real-time detection and analysis of cascading events are crucial to avoiding large blackouts
in power systems. Based on spectral distribution analysis (SDA) of online monitoring data …

This paper describes a reference algorithm specifically designed for PMU Calibration
System. Contrary to existing DFT-based and curve fitting-based methods, which use a single …

In this paper, the global, variance-based, sensitivity analysis is used to quantify the impact of
measurement imperfections on voltage sag based fault location. This kind of fault location …

Single-phase-to-ground sub-cycle faults in the distribution network can be located using
voltage sag fault location. This paper illustrates how a sensitivity study of measurement …

An open problem in diabetes clinical practice is determining where and how much insulin
should be administered to a person with diabetes (PwD) and how many carbohydrates they …

Cascading event detection is essential for situational awareness and the secure operation of
distribution networks. In this paper, based on high-dimensional factor models (HDFMs), an …