Fundamental shifts in the structure and generation profile of electrical grids are occurring
amidst increased demand for resilience. These two simultaneous trends create the need for …

With the increasing complexity of modern power system, conventional dynamic load
modeling with ZIP and induction motors (ZIP+ IM) is no longer adequate to address the …

Substantial usage of electronic-based renewable energy resources has completely changed
the dynamic behaviours and response time of power networks, which are now …

Abstract Machine learning (ML) applications have seen tremendous adoption in power
system research and applications. For instance, supervised/unsupervised learning-based …

Sufficiently accurate short-term wind power prediction is important for the grid dispatch of the
power system. To improve the accuracy by selecting suitable model for each piece of wind …

Transient stability effects from distributed energy resources (DER) are being seen on the
bulk electric system as there has been rapid development of these resources in areas such …

It is important to accurately estimate the behavior of the loads for dynamic simulations of
power systems. An effective way to represent load behavior is through measurement-based …

The growing interest in examining power system loads is driven by the increasing
integration of variable generation units into the distribution network. At the distribution level …

Fundamental shifts in the structure and generation profile of electrical grids are occurring
amidst increased demand for resilience. These two simultaneous trends create the need for …