1 citations · 1 across the 5 of their papers we have counts for
6 papers
Restoring Feasibility in Power Grid Optimization: A Counterfactual ML Approach
Mostafa Mohammadian, Anna Van Boven, Kyri Baker
Electric power grids are essential components of modern life, delivering reliable power to end-users while adhering to a multitude of engineering constraints and requirements. In g…
Learning to Optimize meets Neural-ODE: Real-Time, Stability-Constrained AC OPF
Vincenzo Di Vito, Mostafa Mohammadian, Kyri Baker +1
Recent developments in applying machine learning to address Alternating Current Optimal Power Flow (AC OPF) problems have demonstrated significant potential in providing close to o…
Learning To Solve Differential Equation Constrained Optimization Problems
Vincenzo Di Vito, Mostafa Mohammadian, Kyri Baker +1
Differential equations (DE) constrained optimization plays a critical role in numerous scientific and engineering fields, including energy systems, aerospace engineering, ecology,…
Distribution Grids May Be a Barrier To Residential Electrification
Priyadarshan, Constance Crozier, Kyri Baker +1
Replacing fossil-fueled appliances and vehicles with electric alternatives can reduce greenhouse gas emissions and air pollution in many settings. However, residential electrificat…
Optimizing Multi-Timestep Security-Constrained Optimal Power Flow for Large Power Grids
Hussein Sharadga, Javad Mohammadi, Constance Crozier +1
This work proposes a novel method for scaling multi-timestep security-constrained optimal power flow in large power grids. The challenge arises from dealing with millions of variab…
Spatial Arbitrage Through Bidirectional Electric Vehicle Charging with Delivery Fleets
Mostafa Mohammadian, Constance Crozier, Kyri Baker
The adoption of electric vehicles (EVs), including electric taxis and buses, as a mode of transportation, is rapidly increasing in cities. In addition to providing economic and env…