The penetration rates of both electric vehicles (EVs) and distributed energy resources
(DERs) have been increasing rapidly as appealing options to address the global problems …

Federated learning (FL) is an emerging machine learning paradigm that allows to
accomplish model training without aggregating data at a central server. Most studies on FL …

The rapid growth of Distributed Energy Resources (DERs) and demand response in modern
power grids calls for decentralized electricity trading mechanisms to effectively induce and …

This article investigates the six-degree-of-freedom (6-DoF) entry trajectory optimization
problem in a Human-Mars entry, powered descent, and landing mission. During the entry …

This paper presents the distributed primal outer approximation (DiPOA) algorithm for solving
sparse convex programming (SCP) problems with separable structures, efficiently, and in a …

Significance: Photoacoustic imaging (PAI) has been greatly developed in a broad range of
diagnostic applications. The efficiency of light to sound conversion in PAI is limited by the …

The safety of workers in modular construction remains a concern due to the dynamic
hazardous work environments and unawareness of the potential proximity of equipment. To …

Networked microgrids (MGs) with inverter-based and droop-controlled distributed energy
resources (DERs) require operational optimization with guaranteed stability performance to …

We study the multi-agent Smoothed Online Convex Optimization (SOCO) problem, where $
N $ agents interact through a communication graph. In each round, each agent $ i …

Demand side management (DSM) consists of planning, executing, and controlling activities
to reduce electricity consumption. By using demand response (DR), customers help reduce …