Abstract Machine learning (ML) plays an essential role in various scientific fields. ML
streamlines renewable energy systems, boosting efficiency and production, as global …

In recent years, microgrid (MG) deployment has significantly increased, utilizing various
technologies. MGs are essential for integrating distributed generation into electric power …

The next-generation power grid evolves from the development of fundamental cyber–
physical energy systems called smart microgrids. In order to improve the reliability, safety …

The internetworking of grid-connected power electronics converters (PECs) in photovoltaic
(PV) farms has inevitably expanded the cyber-attack surfaces. This paper presents a …

With focusing on solar photovoltaic (PV) systems operating at microgrid (MG) level, this
study investigates the impacts of different physical faults and cyberattacks as well as …

Modern power applications have grown leaps and bounds in various applications spanning
from domestic to commercial and industrial applications. The operation of these applications …

Super smart grids (SSGs) are a wide area transmission network that mainly uses renewable
energy resources (RERs), contributing to the reduction of greenhouse gas (GHGs) …

Modern wind farms promise increased capacity, sustainability, and efficiency through the
integration of information technology with the existing wind energy technologies. However …

The intermittent nature of wind power is a major challenge for wind as an energy source.
Wind power generation is therefore difficult to plan, manage, sustain, and track during the …

Large-scale wind farms and wind farm clusters with many installed wind turbines are
increasingly built around the world, and especially in offshore regions. The reliability and …