collaborators

5 papers

eess.SY2026

SymbolicPhasor: Power System Phasor Estimation via Deep Symbolic Regression

Sina Mohammadi, Wencong Su

Accurate phasor estimation during power system faults is challenging because fault currents contain decaying DC offsets, harmonics, noise, and possible frequency deviations. These…

eess.SY2026

A Stackelberg-Bayesian Capacity-Market Game of Carbon Regulation and Second-Life Battery Investment under AI Data-Center Load Growth

Rouzbeh Haghighi, Ali Hassan, Sina Mohammadi +2

Artificial intelligence (AI) data centers are driving rapid electricity load growth across all U.S. ISO/RTO regions, raising both system costs and carbon exposure. This study devel…

eess.SY2026

Grid Integration of AI Data Centers: A Critical Review of Energy Storage Solutions

Sina Mohammadi, Wayne Wang, Marcus Chen I Wada +6

Artificial intelligence (AI) is driving unprecedented growth in data center (DC) scale and power demand. AI workloads impose highly dynamic, difficult-to-forecast power profiles on…

eess.SY2025

Large Language Models for Solving Economic Dispatch Problem

Sina Mohammadi, Ali Hassan, Rouzbeh Haghighi +2

This paper investigates the capability of off-the-shelf large language models (LLMs) to solve the economic dispatch (ED) problem. ED is a hard-constrained optimization problem solv…

eess.SY2025

A Novel Topology Recovery Method for Low Voltage Distribution Networks

Sina Mohammadi, Van-Hai Bui, Wencong Su

Low voltage distribution networks (LVDNs) suffer from limited visibility due to sparse or nonexistent measurement systems, leaving distribution network service providers with incom…