54 citations · 129 across the 16 of their papers we have counts for
5 papers · 1 filter
EVs and ERCOT: Future Adoption Scenarios and Grid Implications
Kelsey Nelson, Pedro Moura, Javad Mohammadi
Electric vehicles (EVs) are becoming more commonplace in Texas, mainly due to their increasing attractiveness to consumers and pushes from the state's governing bodies to incentivi…
Learning to Solve Optimization Problems with Hard Linear Constraints
Meiyi Li, Soheil Kolouri, Javad Mohammadi
Constrained optimization problems appear in a wide variety of challenging real-world problems, where constraints often capture the physics of the underlying system. Classic methods…
Mapping Disruption Sources in the Power Grid and Implications for Resilience
Maureen S. Golan, Javad Mohammadi
Developing models and metrics that can address resilience against disruptions is vital to ensure power grid reliability and that adequate recovery and adaptation mechanisms are in…
Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time
Meiyi Li, Yuhan Du, Javad Mohammadi +3
Linear approximations of the AC power flow equations are of great significance for the computational efficiency of large-scale optimal power flow (OPF) problems. Put differently, t…
Teaching Networks to Solve Optimization Problems
Xinran Liu, Yuzhe Lu, Ali Abbasi +3
Leveraging machine learning to facilitate the optimization process is an emerging field that holds the promise to bypass the fundamental computational bottleneck caused by classic…