fig11

Figure 11. Operation in the cooling scenario for 120 h of CNN-MTD3 (A) and TD3base (B). CNN-MTD3: A deep reinforcement learning algorithm proposed in this paper; CNN: convolutional neural network; MTD3: multi agent of twin delayed deep deterministic policy gradient; EC: electricity cooling; BESS: battery energy storage system; PV: photovoltaic; GE: gas engine; AC: absorption cooling; TD3base: this primary scenario does not employ load clustering and does not incorporate expert knowledge into the reward function.