2 papers
eess.SY2026
CONDUCTOR: An LLM-Orchestrated Digital Twin for Uncertainty-Aware Distribution Grid Operations
Antonio Alcántara, Aysegül Kahraman, Anosh Arshad Sundhu +1
Large language models (LLMs) are proposed as natural-language interfaces to power system analysis, yet existing frameworks are validated almost exclusively on synthetic benchmarks…
eess.SY2026
Digital Twin for Real-Time Security Assessment and Flexibility Activation in the Bornholm Distribution System
Anosh Arshad Sundhu, Aysegül Kahraman, Spyros Chatzivasileiadis
The increasing penetration of distributed energy resources (DERs) is transforming distribution networks into actively managed systems, introducing challenges related to voltage reg…