activity
20242026
collaborators

13 papers

eess.SY2026

Learning Reachability of Energy Storage Arbitrage

Tomás Tapia, Agustin Castellano, Enrique Mallada +1

Power systems face increasing weather-driven variability and, therefore, increasingly rely on flexible but energy-limited storage resources. Energy storage can buffer this variabil…

eess.SY20261 cited

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

L2O-CCG: Adversarial Learning with Set Generalization for Adaptive Robust Optimization

Zhiyi Zhou, Ján Drgoňa, Yury Dvorkin

The adversarial subproblem in two-stage adaptive robust optimization (ARO), which identifies the worst-case uncertainty realization, is a major computational bottleneck. This diffi…

eess.SY2026

Reachability Guarantees for Energy Arbitrage

Tomás Tapia, Yury Dvorkin

This paper introduces a unified framework for battery energy arbitrage under uncertain market prices that integrates chance-constrained terminal state-of-charge requirements with o…

eess.SY2025

Accelerating Underground Pumped Hydro Energy Storage Scheduling with Decision-Focused Learning

Honghui Zheng, Pietro Favaro, Yury Dvorkin +2

Underground pumped hydro energy storage (UPHES) systems play a critical role in grid-scale energy storage for renewable integration, yet optimal day-ahead scheduling remains comput…

eess.SY2025

Generation Expansion Planning with Upstream Supply Chain Constraints on Materials, Manufacturing, and Deployment

Boyu Yao, Andrey Bernstein, Yury Dvorkin

Rising electricity demand underscores the need for secure and reliable generation expansion planning that accounts for upstream supply chain constraints. Traditional models often o…