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Physics-guided Residual Learning for Probabilistic Power Flow Analysis
Probabilistic power flow (PPF) analysis is critical to power system operation and planning.
Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality
Non-convex AC optimal power flow (AC-OPF) is a fundamental optimization problem in power system analysis.
Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning
With an increasing high penetration of solar photovoltaic generation in electric power grids, voltage phasors and branch power flows experience more severe fluctuations.
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