Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning. - Xiangyu Zhang 010; Abinet Tesfaye Eseye; Bernard Knueven; Wesley B. Jones (SmartGridComm, 2020)

Modeling flexible generator operating regions via chance-constrained stochastic unit commitment. - Bismark Singh; Bernard Knueven; Jean-Paul Watson (Comput. Manag. Sci., 2020)

The Impacts of Convex Piecewise Linear Cost Formulations on AC Optimal Power Flow. - Carleton Coffrin; Bernard Knueven; Jesse Holzer; Marc Vuffray (CoRR, 2020)

On Mixed-Integer Programming Formulations for the Unit Commitment Problem. - Bernard Knueven; James Ostrowski; Jean-Paul Watson (INFORMS J. Comput., 2020)

A novel matching formulation for startup costs in unit commitment. - Bernard Knueven; James Ostrowski; Jean-Paul Watson (Math. Program. Comput., 2020)

Lagrangian relaxation based heuristics for a chance-constrained optimization model of a hybrid solar-battery storage system. - Bismark Singh; Bernard Knueven (J. Glob. Optim., 2021)

A computationally efficient algorithm for computing convex hull prices. - Bernard Knueven; James Ostrowski; Anya Castillo; Jean-Paul Watson (Comput. Ind. Eng., 2022)

Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration. - Xiangyu Zhang 010; Abinet Tesfaye Eseye; Bernard Knueven; Weijia Liu; Matthew Reynolds; Wesley B. Jones (CoRR, 2022)

A parallel hub-and-spoke system for large-scale scenario-based optimization under uncertainty. - Bernard Knueven; David T. Mildebrath; Christopher Muir; John D. Siirola; Jean-Paul Watson; David L. Woodruff (Math. Program. Comput., 2023)

SEAS Communication Engine: An Extensible, Flexible Wrapper for Cosimulation Agents. - Sam Helman; Kinshuk Panda; Deepthi Vaidhynathan; Bernard Knueven; Devon Sigler; Wesley Jones; Jennifer King (ISGT, 2024)