5 citations · 8 across the 4 of their papers we have counts for
4 papers
Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration
Hoang T. Nguyen, Shaohui Liu, Reetam Sen Biswas +4
The proliferation of distributed energy resources (DERs) in distribution grids enables the active coordination of these assets to reduce costs and enable cleaner operations. Realiz…
A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch
An Nguyen, Hoang Nguyen, Phuong Le +3
We study city-scale control of electric-vehicle (EV) ride-hailing fleets where dispatch, repositioning, and charging decisions must respect charger and feeder limits under uncertai…
Distributionally Robust Safety Filter for Learning-Based Control in Active Distribution Systems
Hoang Tien Nguyen, Dae-Hyun Choi
Operational constraint violations may occur when deep reinforcement learning (DRL) agents interact with real-world active distribution systems to learn their optimal policies durin…
Sample-Efficient Learning for a Surrogate Model of Three-Phase Distribution System
Hoang Tien Nguyen, Young-Jin Kim, Dae-Hyun Choi
A surrogate model that accurately predicts distribution system voltages is crucial for reliable smart grid planning and operation. This letter proposes a fixed-point data-driven su…