IEEE

Topology-Aware Graph Neural Network-Based State Estimation for PMU-Unobservable Power Systems

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...
IEEE

Deep Reinforcement Learning with Graph Neural Networks: An Indepth Analysis of Algorithms ...

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...