This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …

Transaction-based energy (TE) management and control has become an increasingly
relevant topic, attracting considerable attention from industry and the research community …

The proliferation of multiaccess edge computing (MEC) paradigm has created a challenging
multiuser–multiserver–multiaccess edge computing competitive environment, which brings …

Nonorthogonal multiple access (NOMA) systems are vulnerable to jamming attacks,
especially smart jammers who apply programmable and smart radio devices such as …

With dynamic renewable energy generation and power demand, microgrids (MGs)
exchange energy with each other to reduce their dependence on power plants. In this …

In this paper, we propose two novel coalitional game theory-based optimization methods for
minimizing the cost of electricity consumed by households from a smart community. Some …

This article presents a supervised multi-agent safe policy learning (SMAS-PL) method for
optimal power management of networked microgrids (MGs) in distribution systems. While …

In this paper, an economic dispatch (ED) problem for a community microgrid is studied. In
this microgrid, each agent pursues an ED for its personal resources. In addition, each agent …

Demand response is recognised as a potentially cost-effective means for providing the
increasing amounts of flexibility needed in power systems with increasing penetrations of …

The fast deployment of distributed energy resources in the electric power system has
highlighted the need for an efficient energy trading transactive model, without the need for …