Despite widespread adoption and outstanding performance, machine learning models are
considered as “black boxes”, since it is very difficult to understand how such models operate …

As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …

Grid integration of renewable energy (REN) requires efficient and reliable power conversion
stages, particularly with an increasing demand for high controllability and flexibility seen …

The application of model predictive control in electrical drives has been studied extensively
in the past decade. This article presents what the authors consider the most relevant …

The markedly increased integration of renewable energy in the power grid is of significance
in the transition to a sustainable energy future. The grid integration of renewables will be …

The power conversion system based on the modular connection has widespread
applications in various power electronic systems. To accurately estimate the state of health …

As the electronic interfaces between distributed energy resources and the electrical network,
power converters play a vital role in voltage stabilization and power conversion. So far …

Artificial intelligence has prevailed in all trades and professions due to the assistance of big
data resources, advanced algorithms, and high-performance electronic hardware. However …

A microgrid can be formed by the integration of different components such as loads,
renewable/conventional units, and energy storage systems in a local area. Microgrids with …

The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …