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.