In the realm of next-generation mobile communication networks, characterized by dynamic
and evolving workloads, the efficient resource allocation becomes paramount for achieving …

Distributed algorithms are increasingly being used to solve the economic dispatch problem
of integrated energy systems (IESs) because of their high flexibility and strong robustness …

This paper investigates the combined economic environmental dispatch problem of
Microgrids in a distributed manner. In order to optimize the competing agminated operation …

After microgrids (MGs) are built in a near region, a good idea is interconnecting those
neighboring MGs to form a multi-microgrid (MMG) system and support each other …

This article investigates the synchronization problem of multiple memristive neural networks
(MMNNs) in the case of switching communication topologies and parameter mismatch. First …

Traditional multi-objective economic dispatch problems all apply centralized multi-objective
optimization methods. However, with the rapid development of smart grids, issues such as …

This paper is dedicated to solving the economic dispatch problem in smart grids, which aims
at minimizing the total generation cost while satisfying the power supply-demand balance …

With the rapid development of the scale of distributed energy resources, the implementation
of distributed algorithms imposes ever-increasing requirements on communication …

In this paper, a push-sum based distributed delayed dual averaging algorithm (PS-DDDA) is
proposed to solve the distributed constrained optimization problem over the time-varying …

This article studies fully distributed data-driven problems for nonlinear discrete-time
multiagent systems (MASs) with fixed and switching topologies preventing injection attacks …