Machine Learning for AC Optimal Power Flow

19 Oct 2019Neel GuhaZhecheng WangMatt WytockArun Majumdar

We explore machine learning methods for AC Optimal Powerflow (ACOPF) - the task of optimizing power generation in a transmission network according while respecting physical and engineering constraints. We present two formulations of ACOPF as a machine learning problem: 1) an end-to-end prediction task where we directly predict the optimal generator settings, and 2) a constraint prediction task where we predict the set of active constraints in the optimal solution... (read more)

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