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A tractable ellipsoidal approximation for voltage regulation problems
We present a machine learning approach to the solution of chance constrained optimizations in the context of voltage regulation problems in power system operation.
Distribution System Voltage Control under Uncertainties using Tractable Chance Constraints
We also show that this optimization problem is convex for a wide variety of probabilistic distributions.
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