43 citations · 57 across the 18 of their papers we have counts for
20 papers
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…
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…
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…
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…
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…
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…
Porting the Nonlinear Optimization Library HiOp to Accelerator-Based Hardware Architectures
Slaven Peles, Kalyan S. Perumalla, Maksudul Alam +4
While interior point methods have been the centerpiece of nonlinear programming tools used in science and engineering, their reliance on linear solvers that can tackle sparse symme…
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…
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…
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…
Interface for Sparse Linear Algebra Operations
Ahmad Abdelfattah, Willow Ahrens, Hartwig Anzt +32
The standardization of an interface for dense linear algebra operations in the BLAS standard has enabled interoperability between different linear algebra libraries, thereby boosti…
Iterative Methods in GPU-Resident Linear Solvers for Nonlinear Constrained Optimization
Kasia Świrydowicz, Nicholson Koukpaizan, Maksudul Alam +3
Linear solvers are major computational bottlenecks in a wide range of decision support and optimization computations. The challenges become even more pronounced on heterogeneous ha…
GPU-Resident Sparse Direct Linear Solvers for Alternating Current Optimal Power Flow Analysis
Kasia Świrydowicz, Nicholson Koukpaizan, Tobias Ribizel +4
Integrating renewable resources within the transmission grid at a wide scale poses significant challenges for economic dispatch as it requires analysis with more optimization param…
Towards Efficient Alternating Current Optimal Power Flow Analysis on Graphical Processing Units
Kasia Swirydowicz, Nicholson Koukpaizan, Shrirang Abhyankar +1
We present a solution of sparse alternating current optimal power flow (ACOPF) analysis on graphical processing unit (GPU). In particular, we discuss the performance bottlenecks an…
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…
Linear solvers for power grid optimization problems: a review of GPU-accelerated linear solvers
Kasia Swirydowicz, Eric Darve, Wesley Jones +5
The linear equations that arise in interior methods for constrained optimization are sparse symmetric indefinite and become extremely ill-conditioned as the interior method converg…
Sparse Automatic Differentiation for Complex Networks of Differential-Algebraic Equations Using Abstract Elementary Algebra
Slaven Peles, Stefan Klus
Most numerical solvers and libraries nowadays are implemented to use mathematical models created with language-specific built-in data types (e.g. real in Fortran or double in C) an…
Synchronization in networks of general, weakly nonlinear oscillators
Krešimir Josić, Slaven Peleš
We present a general approach to the study of synchrony in networks of weakly nonlinear systems described by singularly perturbed equations of the type . By perfo…
Analysis of a Parametrically Driven Pendulum
Randy Kobes, Junxian Liu, Slaven Peles
We study in this paper the behavior of a periodically driven nonlinear mechanical system. Bifurcation diagrams are found which locate regions of quasiperiodic, periodic and chaotic…
A Relationship Between Parametric Resonance and Chaos
R. Kobes, S. Peles
In this paper we study two types of exponential instability -- parametric resonance and chaos. We show that a given equation may produce chaos or parametric resonance, depending ho…