The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …

Real-time smart grid monitoring is critical to enhancing resiliency and operational efficiency
of power equipment. Cloud-based and edge-based fault detection systems integrating deep …

With the continuous expansion of the power Internet of Things (IoT) and the rapid increase in
the number of Smart Devices (SDs), the data generated by SDs has exponentially …

The rapid development of new information and communication technologies (ICTs) and the
deployment of advanced Internet of Things (IoT)-based devices has led to the study and …

Currently, the rapid development of Internet of Things (IoT) technology is promoting the
development of smart grids. However, because of the numerous loads present and the …

In recent years, multiunmanned aerial vehicular systems (MUAVs) have become prevalent
in divergent applications: agriculture, spectrum utilization, transportation, forest fire …

This article provides an overview of recent research on edge-cloud architectures in hybrid
energy management systems (HEMSs). It delves into the typical structure of an IoT system …

Real-time monitoring in smart grids requires efficient handling of massive amount of data.
Fog cloud nodes can be strategically located within the smart grid to: pull readings from …

Real-time fault detection is important for the operation of smart grid. It has become a trend of
future development to design an anomaly detection system based on deep learning by …

The distribution of smart grid applications to different physical devices not interconnected
with physical sensors has opened the possibility for software virtualization allowing flexible …