Data-boosted variants of interior-point and spatial branching methods for AC-OPF improve convergence and computation times, with interior-point solvers showing robustness to local optima.
Scalable global optimization for AC-OPF via quadratic convex relaxation and branch-and-bound
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Data-Boosted Optimization for AC Optimal Power Flow: Interior-Point and Spatial Branching Methods
Data-boosted variants of interior-point and spatial branching methods for AC-OPF improve convergence and computation times, with interior-point solvers showing robustness to local optima.