activity
20182026
most citedTransmission and Capacity Expansion Planning Against Rising Temperatures: A Case Study in Arizona

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DM2026

The Bidirectionality-Preserving Feedback Arc Set Problem with an Application to Faculty Hiring Network Analysis

Sina Akbari, Adolfo R. Escobedo, Jorge A. Sefair

This work introduces a novel combinatorial optimization problem to uncover strict and non-strict hierarchical structures underlying digraphs with bidirected arcs. We show that the…

math.NA2022

Exact Matrix Factorization Updates for Nonlinear Programming

Adolfo R. Escobedo

LU and Cholesky matrix factorization algorithms are core subroutines used to solve systems of linear equations (SLEs) encountered while solving an optimization problem. Standard fa…

math.OC2021★ 1 cited

Transmission and Capacity Expansion Planning Against Rising Temperatures: A Case Study in Arizona

J. Kyle Skolfield, Jose Ramirez-Vergara, Adolfo R. Escobedo

The stable and efficient operation of the transmission network is fundamental to the power system's ability to deliver electricity reliably and cheaply. As average temperatures con…

math.CO2020

Derivations of large classes of facet-defining inequalities of the weak order polytope using ranking structures

Adolfo R. Escobedo, Romena Yasmin

The study of ordering polytopes has been essential to the solution of various challenging combinatorial optimization problems. For instance, the incorporation of facet defining ine…

math.OC2019

Derivation and Generation of Path-Based Valid Inequalities for Transmission Expansion Planning

J. Kyle Skolfield, Laura M. Escobar, Adolfo R. Escobedo

This paper seeks to solve the long-term transmission expansion planning problem more effectively by reducing the solution search space and the computational effort. The proposed me…

stat.AP2018

A New Correlation Coefficient for Aggregating Non-strict and Incomplete Rankings

Yeawon Yoo, Adolfo R. Escobedo, J. Kyle Skolfield

We introduce a correlation coefficient that is designed to deal with a variety of ranking formats including those containing non-strict (i.e., with-ties) and incomplete (i.e., unkn…