activity
20242026
most citedA Critical Review of Safe Reinforcement Learning Techniques in Smart Grid Applications

2 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Optimal Demand Response-Based Energy Management for Campus Buildings with Battery Energy Storage Systems: A Case Study of the ELB Building

Ali Beidoun, Quang Manh Hoang, Guilherme Vieira Hollweg +1

Buildings account for a significant portion of global electricity consumption, making demand response (DR) an effective strategy for reducing energy costs and improving grid flexib…

eess.SY2026

Scalable Impedance Identification of Diverse IBRs via Cluster-Specialized Neural Networks

Quang Manh Hoang, Guilherme Vieira Hollweg, Bang Nguyen +3

Modern machine learning approaches typically identify the impedance of a single inverter-based resource (IBR) and assume similar impedance characteristics across devices. In modern…

eess.SY2025

ANN-Based Grid Impedance Estimation for Adaptive Gain Scheduling in VSG Under Dynamic Grid Conditions

Quang-Manh Hoang, Van Nam Nguyen, Taehyung Kim +3

In contrast to grid-following inverters, Virtual Synchronous Generators (VSGs) perform well under weak grid conditions but may become unstable when the grid is strong. Grid strengt…

eess.SY2025★ 2 cited

Enhancing Forecasting Accuracy in Dynamic Environments via PELT-Driven Drift Detection and Model Adaptation

Nikhil Pawar, Guilherme Vieira Hollweg, Akhtar Hussain +2

Accurate time series forecasting models are often compromised by data drift, where underlying data distributions change over time, leading to significant declines in prediction per…

eess.SY2025

PSO-based Sliding Mode Current Control of Grid-Forming Inverter in Rotating Frame

Quang-Manh Hoang, Guilherme Vieira Hollweg, Akhtar Hussain +3

The Grid-Forming Inverter (GFMI) is an emerging topic that is attracting significant attention from both academic and industrial communities, particularly in the area of control de…

eess.SY2024★ 2 cited

A Critical Review of Safe Reinforcement Learning Techniques in Smart Grid Applications

Van-Hai Bui, Srijita Das, Akhtar Hussain +2

The high penetration of distributed energy resources (DERs) in modern smart power systems introduces unforeseen uncertainties for the electricity sector, leading to increased compl…