43 citations · 87 across the 9 of their papers we have counts for
12 papers
Two-Stage Quantum-Classical Distribution Network Reconfiguration via Cycle-Edge Encoding
Nowar Alashkar, Cade Kennedy, Phillip C. Lotshaw +6
Distribution network reconfiguration (DNR) is a combinatorial optimization problem that seeks a low-loss network topology subject to topological and electrical operating constraint…
Warm-Start Iterative QITE for Distribution Network Reconfiguration via Branch-Exchange Encoding
Noah Crum, Pete Pritchard, Tanner Rase +5
We present a hybrid quantum-classical algorithm for distribution network reconfiguration, a combinatorial optimization problem on power distribution networks, that combines a radia…
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…
Dynamic Operational Reserve Margin Assessment from Risk-Constrained Unit Commitment States
Pratishtha Shukla, Shaked Regev, Evan J. R. Brody +2
We propose Dynamic Reserve Margin (DRM) as a time-varying operational adequacy metric derived from risk-constrained unit commitment (RCUC) states. DRM quantifies reserve adequacy u…
Closed form logical error rate approximations for surface codes
Shaked Regev, Daniel Dilley, James Nutaro +2
We propose a novel method to calculate logical error rates in surface codes, assuming independent and identically distributed physical errors. These results fit well known scaling…
Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions
Abhilasha Saroj, Shaked Regev, Guanhao Xu +3
Traffic simulation and digital-twin calibration is a challenging optimization problem with a limited simulation budget. Each trial requires an expensive simulation run, and the rel…
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…
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…
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…
Isothermal Langevin dynamics in systems with power-law spatially-dependent friction
Shaked Regev, Niels Grønbech-Jensen, Oded Farago
We study the dynamics of Brownian particles in a heterogeneous one-dimensional medium with a spatially-dependent diffusion coefficient of the form , at constant tem…