Employing adversarial robustness techniques for large-scale stochastic optimal power flow
High penetrations of renewables and extreme weather phenomena are driving the need for
large-scale stochastic optimization for power grid operations and planning. However, large …
large-scale stochastic optimization for power grid operations and planning. However, large …
Two-stage homotopy method to incorporate discrete control variables into AC-OPF
Abstract Alternating-Current Optimal Power Flow (AC-OPF) is an optimization problem
critical for planning and operating the power grid. The problem is traditionally formulated …
critical for planning and operating the power grid. The problem is traditionally formulated …
[PDF][PDF] Bridging Deep Learning and Electric Power Systems
P Donti - 2022 - kilthub.cmu.edu
Climate change is one of the most pressing issues of our time, requiring the rapid
mobilization of many tools and approaches from across society. Machine learning has been …
mobilization of many tools and approaches from across society. Machine learning has been …