IEEE

Uncertainty-Aware Model-Based Multi-Agent Deep Reinforcement Learning for Robust Active ...

Abstract: The large-scale injection of new energy systems into active distribution networks (ADNs) has caused voltage violations, challenging the stable operation of power grids. Recently, deep ...
IEEE

Active Learning for Transformer-Based Fault Diagnosis in 5G and Beyond Mobile Networks

Abstract: As 5G and beyond mobile networks evolve, their increasing complexity necessitates advanced, automated, and data-driven fault diagnosis methods. While traditional data-driven methods falter ...