Author

S. Peleš

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Preprint Sep 2026

Fast Relax-and-Round Unit Commitment with Topological Constraints

Recent developments in the US knowledge economy have created a significant growth in datacenter loads, with two major consequences for power generation. First, to compensate for growth in load, datacenters are encouraged to bring their own generating units. Second, in search of the remaining pools of dispatchable gener...

Evan J. R. Brody, C. Foltz, E. Tsybina et al. · 0 citations

Preprint Sep 2026

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

We present AgentiGrid, an agentic artificial intelligence (AI) framework that integrates large language models (LLMs) intelligence and high-performance computing (HPC) to streamline and accelerate the multi-scenario power flow studies. AgentiGrid is an autonomous decision-making agent that proposes parameter modificati...

S. Konjicija, S. Peleš · 0 citations

Preprint Jul 2026

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

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 assets must interconnect with the grid. As bulk transmission expansion rolls out slowly, new loads and generation are increasingly deployed wi...

E. Tsybina, S. Konjicija, S. Peleš · 0 citations