With the continual deployment of power-electronics-interfaced renewable energy resources,
increasing privacy concerns due to deregulation of electricity markets, and the diversification …

The feature extraction and classification of power load characteristics are vital for time-
varying load modeling. However, due to the influence of the season variation, the existing …

In this study, the skewed and asymmetric measurement noise is considered and solved in
the identification of linear parameter varying (LPV) systems and a new robust global …

The reliability of a power system is considered as a critical requirement in planning and
operating the system due to the increasing demand for more reliable service with a lower …

This study aids in finding out the critical switches of the system that will help in network
reconfiguration to minimize losses and to enhance the voltage profile of the system in load …

This paper aims to develop a novel method for the dynamic equivalence of a renewable
power plant, ultimately contributing to power system modeling and enhancing the integration …

Load modeling is a vital task for power system analysis and control, but most existing load
models assume that the load parameters are constant and independent, which may not …

In this paper, we consider the identification problem for linear parameter varying (LPV)
systems with skewed and asymmetric measurement noise. The shifted asymmetric Laplace …