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20162026
most citedLinear solvers for power grid optimization problems: a review of GPU-accelerated linear solvers

43 citations · 87 across the 9 of their papers we have counts for

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5 papers · 1 filter

math.OC2026

Fast Relax-and-Round Unit Commitment with Topological Constraints

Evan J. R. Brody, Charles Foltz, Eve Tsybina +2

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 gr…

math.OC2026

Fast Relax-and-Round Unit Commitment with Sub-hourly Mechanical and Ramp Constraints

Shaked Regev, Eve Tsybina, Slaven Peles

We propose a novel computational method for unit commitment UC, which does not require linearized approximation and provides several orders of magnitude performance improvement ove…

math.OC2026

Fast Relax-and-Round Unit Commitment with Economic Horizons

Shaked Regev, Evan J. R. Brody, Charles Foltz +2

The US energy system is under increasing pressure to serve expanding data centers loads and to accommodate a larger number of generating units with varying technologies and ownersh…

math.OC2025

A Fast Relax-and-Round Approach to Unit Commitment for Data Center Own Generation

Shaked Regev, Eve Tsybina, Slaven Peles

The rapid growth of data centers increasingly requires data center operators to "bring own generation" to complement the available utility power plants to supply all or part of dat…

math.OC2021★ 12 cited

A Hybrid Direct-Iterative Method for Solving KKT Linear Systems

Shaked Regev, Nai-Yuan Chiang, Eric Darve +4

We propose a solution strategy for linear systems arising in interior method optimization, which is suitable for implementation on hardware accelerators such as graphical processin…