A Perspective on Reinforcement Learning in Price-based Demand Response for Smart Grid

Abstract

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.