Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods

@inproceedings{Fioretto2019PredictingAO,
  title={Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods},
  author={Ferdinando Fioretto and Terrence W.K. Mak and Pascal Van Hentenryck},
  booktitle={AAAI Conference on Artificial Intelligence},
  year={2019}
}
The Optimal Power Flow (OPF) problem is a fundamental building block for the optimization of electrical power systems. It is nonlinear and nonconvex and computes the generator setpoints for power and voltage, given a set of load demands. It is often needed to be solved repeatedly under various conditions, either in real-time or in large-scale studies. This need is further exacerbated by the increasing stochasticity of power systems due to renewable energy sources in front and behind the meter… 
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