activity
20242026
collaborators

12 papers

eess.SY2026

Nodal Frequency Stability-Constrained UC & ED for Renewable-Dominated Power Systems

Marena Trujillo, David Cole, Bri-Mathias Hodge

In modern power systems with high shares of renewable, inverter-based resources (IBRs), frequency stability becomes more complex due to the fast dynamics of IBRs and frequency traj…

eess.SY2026

Power Grid Infrastructure for AI Data Centers

Amir Sajadi, Muhy Eddin Za'ter, Maria Vabson +2

This article addresses recent advances in artificial intelligence, which have set off an astounding race among technology frontiers to build large data centers. It provides insight…

eess.SY2026

Empirical Assessment of Time-Series Foundation Models For Power System Forecasting Applications

Muhy Eddin Za'ter, Bri-Mathias Hodge

Accurate forecasting of electric load and renewable generation is essential for reliable and cost effective power system operations. Recent advances in transformer based and founda…

eess.SY2026

A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment

Muhy Eddin Za'ter, Anna Van Boven, Bri-Mathias Hodge +1

Maintaining instantaneous balance between electricity supply and demand is critical for reliability and grid instability. System operators achieve this through solving the task of…

eess.SY2026

Cross-Atlantic Research Agenda for Scalable Grid Architectures and Distributed Flexibility

Mads R. Almassalkhi, Dakota Hamilton, Hasan Giray Oral +10

Electric power systems are rapidly evolving into deeply digital, cyber-physical infrastructures in which large fleets of distributed energy resources must be coordinated as system-…

eess.SY2026

Selective State-Space Models for Koopman-based Data-driven Distribution System State Estimation

Bader Alabdulrazzaq, Bri-Mathias Hodge

Distribution System State Estimation (DSSE) plays an increasingly-important role in modern power grids due to the integration of distributed energy resources (DERs). The inherent c…