46 citations · 155 across the 26 of their papers we have counts for
4 papers · 1 filter
Learning-Accelerated ADMM for Distributed Optimal Power Flow
David Biagioni, Peter Graf, Xiangyu Zhang +3
We propose a novel data-driven method to accelerate the convergence of Alternating Direction Method of Multipliers (ADMM) for solving distributed DC optimal power flow (DC-OPF) whe…
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow
Ahmed Zamzam, Kyri Baker
In this paper, we develop an online method that leverages machine learning to obtain feasible solutions to the AC optimal power flow (OPF) problem with negligible optimality gaps o…
Energy Storage Management via Deep Q-Networks
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
Energy storage devices represent environmentally friendly candidates to cope with volatile renewable energy generation. Motivated by the increase in privately owned storage systems…
Physics-Aware Neural Networks for Distribution System State Estimation
Ahmed S. Zamzam, Nicholas D. Sidiropoulos
The distribution system state estimation problem seeks to determine the network state from available measurements. Widely used Gauss-Newton approaches are very sensitive to the ini…