Neural network models trained only on non-sensitive data approximate distribution system feasible regions to enable privacy-preserving, single-round TSO optimal power flow with direct FPU dispatch.
Real-time coordination of integrated transmission and distribution sys- tems: Flexibility modeling and distributed NMPC scheduling
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Privacy-Preserving Utilization of Distribution System Flexibility for Enhanced TSO-DSO Interoperability: A Novel Machine Learning-Based Optimal Power Flow Approach
Neural network models trained only on non-sensitive data approximate distribution system feasible regions to enable privacy-preserving, single-round TSO optimal power flow with direct FPU dispatch.