EV Smart Charging in Distribution Grids - Experimental evaluation using Hardware in the Loop Setup

Statistically Distinct Plans for Multi-Objective Task Assignment

A Two-Stage Approach for a Mixed-Integer Economic Dispatch Game in Integrated Electrical and Gas Distribution Systems

Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs

Biased-MPPI: Informing Sampling-Based Model Predictive Control by Fusing Ancillary Controllers

Switch Voltage Rating Selection Considering Cost-Oriented Redundancy and Modularity-based Trade-offs in Modular Multilevel Converter

Coordination and Optimization Control Framework for Vessels Platooning in Inland Waterborne Transportation System

Charging Infrastructure and Grid Integration for Electromobility

Low-Voltage dc System Building Blocks: Integrated Power Flow Control and Short Circuit Protection

Optimizing Task Waiting Times in Dynamic Vehicle Routing

Population games with replicator dynamics under event-triggered payoff provider and a demand response application

A Deep Reinforcement Learning Approach to Configuration Sampling Problem

A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT

Adaptive Composite Online Optimization: Predictions in Static and Dynamic Environments

EdgeBOL: A Bayesian Learning Approach for the Joint Orchestration of vRANs and Mobile Edge AI

Migration-aware Network Services with Edge Computing

Payoff distribution in robust coalitional games on time-varying networks

Operationally-Safe Peer-to-Peer Energy Trading in Distribution Grids: A Game-Theoretic Market-Clearing Mechanism

Assessing economic risk, safety standards, and decision-making

Proof of Delivery Smart Contract for Performance Measurements