A deep Q-network controller for solar-plus-storage earns about 61 percent of perfect-foresight optimal profit on CAISO data and beats rules-based and receding-horizon baselines on average.
Data-driven decision making in power systems with probabilistic guarantees: Theory and applications of chance-constrained optimization
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Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration
A deep Q-network controller for solar-plus-storage earns about 61 percent of perfect-foresight optimal profit on CAISO data and beats rules-based and receding-horizon baselines on average.