This article presents a state-of-the-art review of the status, development, and prospects of
DC-based microgrids. In recent years, researchers' focus has shifted to DC-based …

The rapid development of information and communications technology has enabled the use
of digital-controlled and software-driven distributed energy resources (DERs) to improve the …

The distribution of the power transformers at a far distance from the electrical plants
represents the main challenge against the diagnosis of the transformer status. This paper …

The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV)
systems, due to the increasing computational power, tools and data generation. The …

This paper introduces an integrated IoT architecture to handle the problem of cyber attacks
based on a developed deep neural network (DNN) with a rectified linear unit in order to …

This paper presents an in-depth exploration of the application of Artificial Intelligence (AI) in
enhancing the resilience of microgrids. It begins with an overview of the impact of natural …

Direct current (DC) microgrids can be considered as cyber-physical systems due to
implementation of measurement devices, communication network, and control layers …

In this letter, a data-driven cyber-attack detection method for islanded dc microgrids is
proposed. Data are collected by monitoring the behavior of an intelligent attacker who is …

This article proposes a novel approach to uncover deficiencies of the existing cyber-attack
detection schemes and thereby to serve as a foundation for establishing more reliable …

This paper experimentally validates the effectiveness of a primary/backup framework in
preventing/mitigating the impacts of false data injection (FDI) cyberattacks targeting a lab …