Integrates GSP with DDPG using learned abstract models to improve sample efficiency and satisfy terminal storage constraints in simulated air separation demand response scheduling.
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Addressing Terminal Constraints in Data-Driven Demand Response Scheduling
Integrates GSP with DDPG using learned abstract models to improve sample efficiency and satisfy terminal storage constraints in simulated air separation demand response scheduling.