DOE OSTI · 2222113
Distributed reinforcement learning and consensus control of energy systems
Abstract
Disclosed herein are methods, systems, and devices for utilizing distributed reinforcement learning and consensus control to most effectively generate and utilize energy. In some embodiments, individual turbines within a wind farm may communicate to reach a consensus as to the desired yaw angle based on the wind conditions.
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King, Jennifer Rose Rose, Fleming, Paul Aaron, Dall'Anese, Emiliano, Bay, Christopher Joseph, Graf, Peter Andrew. 2023-08-15. Distributed reinforcement learning and consensus control of energy systems. https://www.osti.gov/biblio/2222113
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