A Perspective on Reinforcement Learning in Price-Based Demand Response for Smart Grid
2017
This paper proposes a price-based demand response (DR) algorithm for energy management in a hierarchical electricity market. The pricing problem is formulated as a reinforcement learning (RL) model. Using RL, the service provider (SP) can adaptively decide the retail electricity price during the on-line learning process.
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