Margaret Capetz

Department: Electrical & Computer Engineering

Advisor: Baosen Zhang

Two challenges in grid operations are the need to solve large-scale, nonlinear optimization problems efficiently and the computational difficulty of optimizing an increasing number of integer variables as we commit more generators. My research aims to address these challenges by applying graph-based machine learning (ML) to power grid optimization problems and extend these methods to improve generator commitment decisions.