Energysupervised learning approximation of optimization/control policyresearch-stage proposed workflow described in an ieee conference publication, aimed at practical grid operations.

ML-based optimal inverter dispatch for distribution grids

Use machine learning to tell smart power inverters how to behave so the local grid stays stable and efficient as conditions change.

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