Explainable multi-agent deep reinforcement learning for real-time demand response towards sustainable manufacturing

•A deep reinforcement learning (DRL) is proposed for demand response (DR) control.•The proposed DRL can guarantee production constraints while reducing energy costs.•The proposed algorithm shows enhanced training stability and improved performance.•DRL-based control scheme greatly surpasses traditional schemes under dynamic DR.