Big data analytics in smart grids: a review
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 …
Driven by the development of information and communication technology, an information …
Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions
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 …
enhances a multitude of technical, social, and economic gains. As power grid technologies …
A survey on security control and attack detection for industrial cyber-physical systems
Abstract Cyber-physical systems (CPSs), which are an integration of computation,
networking, and physical processes, play an increasingly important role in critical …
networking, and physical processes, play an increasingly important role in critical …
A robust iterated extended Kalman filter for power system dynamic state estimation
This paper develops a robust iterated extended Kalman filter (EKF) based on the
generalized maximum likelihood approach (termed GM-IEKF) for estimating power system …
generalized maximum likelihood approach (termed GM-IEKF) for estimating power system …
Big data issues in smart grid–A review
C Tu, X He, Z Shuai, F Jiang - Renewable and Sustainable Energy …, 2017 - Elsevier
There are both economic and environmental urges for transition from the current outdated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 …
power grid to a sensor-embedded smart grid that monitors system stability, integrates …
Hybrid-cloud-based data processing for power system monitoring in smart grids
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 …
new communication, information technology techniques and devices has been investigated …
Robust power system state estimation with minimum error entropy unscented Kalman filter
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 …
aided state estimation (FASE). However, when the power systems are affected by the …
Assessment of evolutionary optimization techniques applications in modern power systems
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 …
systems networks. Optimization is an efficient tool and an easy way to solve the complex …
Bayesian inference approach for information fusion in distribution system state estimation
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 …
Bayesian inference approach to manage different sampling rates of typical sources of …
A framework for robust hybrid state estimation with unknown measurement noise statistics
In practical applications like power systems, the distribution of the measurement noise is
usually unknown and frequently deviates from the assumed Gaussian model, yielding …
usually unknown and frequently deviates from the assumed Gaussian model, yielding …