Data analytics are now playing a more important role in the modern industrial systems.
Driven by the development of information and communication technology, an information …

Big data has potential to unlock novel groundbreaking opportunities in power grid that
enhances a multitude of technical, social, and economic gains. As power grid technologies …

Abstract Cyber-physical systems (CPSs), which are an integration of computation,
networking, and physical processes, play an increasingly important role in critical …

This paper develops a robust iterated extended Kalman filter (EKF) based on the
generalized maximum likelihood approach (termed GM-IEKF) for estimating power system …

There are both economic and environmental urges for transition from the current outdated
power grid to a sensor-embedded smart grid that monitors system stability, integrates …

In this research, a complete vision of using the technology of the smart grid system with a
new communication, information technology techniques and devices has been investigated …

The unscented Kalman filter (UKF) provides a powerful tool for power system forecasting-
aided state estimation (FASE). However, when the power systems are affected by the …

This paper presents the latest work in the field of optimization of modern power system
systems networks. Optimization is an efficient tool and an easy way to solve the complex …

This paper presents a three-phase Distribution System State Estimator (DSSE) based on a
Bayesian inference approach to manage different sampling rates of typical sources of …

In practical applications like power systems, the distribution of the measurement noise is
usually unknown and frequently deviates from the assumed Gaussian model, yielding …