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Stochastic Model Predictive Control under AC Power-Flow Constraints Using Generative Learning

arXiv:2609.07433v1 Announce Type: new Abstract: This paper proposes an end-to-end generative framework for efficiently solving multi-period and multi-scenario stochastic model predictive control (SMPC) problems under nonlinear AC power-flow constraints.

Original headline
Stochastic Model Predictive Control under AC Power-Flow Constraints Using Generative Learning
Read the original: arXiv — Systems and Control (eess.SY)

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