Abstract: In view of the current need to further explore the feasibility of the application of reinforcement learning in demand-side energy management and user-side demand response,this paper proposes a demand-side energy management method for building clusters on the basis of reinforcement learning.Firstly,the building clusters are used as the terminal energy load carrier to construct the demand-side energy management framework of the building clusters.Secondly,according to the virtual energy storage characteristics of the intelligent buildings,a novel intelligent building thermal resistance-capacity（R-C） thermal balance model and user flexibility load model are constructed,and a demand-side energy management model based on reinforcement learning is constructed by combining Q-learning algorithm.Finally,the effectiveness and practicability of the proposed theoretical method are verified by comparing the results of demand-side energy management and the performance of the algorithm through actual simulation cases.