3 papers
eess.SY2026
NEO-Grid: A Neural Approximation Framework for Optimization and Control in Distribution Grids
Mohamad Chehade, Hao Zhu
The rise of distributed energy resources (DERs) is reshaping modern distribution grids, introducing new challenges in attaining voltage stability under dynamic and decentralized op…
eess.SY2026
Fine-Tuning LLMs to Generate Economical and Reliable Actions for the Power Grid
Mohamad Chehade, Hao Zhu
Public Safety Power Shutoffs (PSPS) force rapid topology changes that can render standard operating points infeasible, requiring operators to quickly identify corrective transmissi…
cs.CL2025
Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time
Mohamad Chehade, Soumya Suvra Ghosal, Souradip Chakraborty +4
Aligning large language models with humans is challenging due to the inherently multifaceted nature of preference feedback. While existing approaches typically frame this as a mult…