Artificial Intelligence (AI) integrated with Blockchain distributed ledger technology (BDLT)
has become the most attractive research area in the domain of renewable energy and …

The advances in the miniaturisation of electronic devices and the deployment of cheaper
and faster data networks have propelled environments augmented with contextual and real …

Smart grids have emerged as a transformative technology in the power sector, enabling
efficient energy management. However, the increased reliance on digital technologies also …

Identifying the anomaly location and type (fault or attack) is of paramount importance for
enhancing cyber-physical situational awareness, and taking informed and effective …

Due to the openness of communication network and the complexity of system structures,
multi-agent systems are vulnerable to malicious network attacks, which can cause intense …

This work focuses on a consensus problem of multi-agent systems (MASs) under an event-
triggered control (ETC) subject to denial-of-service (DoS) jamming attacks. To reduce the …

We use machine-learning to train communication-free protective relays of a closed-loop
distribution system. The proposed algorithm in the protective relays affords primary …

Airlines have experienced disruptions from random shocks such as extreme weather
conditions and airport congestion. Airlines thus have invested in improving their flight and …

The purpose of this review is to present the different facets of multi-agent systems (MAS) with
an accent on their two main areas: MAS for developing decentralized systems and MAS for …

Abstract The Information and Communications Technology (ICT) for control and monitoring
of power systems is a layer on top of the physical power system infrastructure. The cyber …