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20002026
most citedLinear solvers for power grid optimization problems: a review of GPU-accelerated linear solvers

43 citations · 57 across the 18 of their papers we have counts for

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6 papers · 1 filter

eess.SY2026

Integrating Agentic Artificial Intelligence with High-Performance Computing for Grid Planning

Samim Konjicija, Slaven Peles

We present AgentiGrid, an agentic artificial intelligence (AI) framework that integrates large language models (LLMs) intelligence and high-performance computing (HPC) to streamlin…

eess.SY2026

Hidden Economic Consequences of Adapting to Fast Ramping Datacenter Loads

Willa Gutowski, Charles Foltz, Nicholson Koukpaizan +2

Artificial intelligence workloads are driving the rapid expansion of datacenter infrastructure, which imposes substantial stress on the US energy system. While high peak electricit…

eess.SY2026

Agentic Artificial Intelligence for Power Systems: Strategies to Identify and Close Capability Gaps

Eve Tsybina, Samim Konjicija, Slaven Peles

The rapid expansion of AI-driven information infrastructure, particularly data centers, is placing unprecedented pressure on power systems and accelerating the pace at which new as…

eess.SY2026

Geospatial sensitivity of transmission-constrained ACOPF to generator retirement

Willa Gutowski, Ulyana Shyrokaya, Nicholson Koukpaizan +3

The US faces a growing resource adequacy challenge: new loads are being added at unprecedented scale while aging generating assets are being retired. In transmission-constrained gr…

eess.SY2026

HPC-Enabled Generator Importance Assessment for RTO-Scale Resource Adequacy Planning

Eve Tsybina, Nicholson Koukpaizan, Joshua Hambrick +2

Modern power systems are increasingly under stress as aging assets approach retirement and load growth outpaces new generation construction. The severity of this challenge varies b…

eess.SY2022★ 1 cited

Exascale Grid Optimization (ExaGO) toolkit: An open-source high-performance package for solving large-scale grid optimization problems

Shrirang Abhyankar, Slaven Peles, Tamara Becejac +3

This paper introduces the Exascale Grid Optimization (ExaGO) toolkit, a library for solving large-scale alternating current optimal power flow (ACOPF) problems including stochastic…