Analysis and Accurate Prediction of User's Response Behavior in Incentive-Based Demand Response. - Di Liu 011; Yi Sun 007; Yao Qu; Bin Li 031; Yonghai Xu (IEEE Access, 2019)

Differentiated Incentive Strategy for Demand Response in Electric Market Considering the Difference in User Response Flexibility. - Di Liu 011; Yi Sun 007; Bin Li 031; Xie Xiangying; Yudong Lu (IEEE Access, 2020)

Privacy Preserving Load Control of Residential Microgrid via Deep Reinforcement Learning. - Zhaoming Qin; Di Liu 011; Haochen Hua; Junwei Cao (IEEE Trans. Smart Grid, 2021)

Key problems of gas-fired power plants participating in peak load regulation: A review. - Gang Wang; Mingde Bi; Haifeng Fan; Yihui Fan; Cheng Huang; Yiyue Shi; Wei Liu; Di Liu 011; Haochen Hua (IET Cyper-Phys. Syst.: Theory & Appl., 2023)

Make Safe Decisions in Power System: Safe Reinforcement Learning Based Pre-decision Making for Voltage Stability Emergency Control. - Congbo Bi; Lipeng Zhu; Di Liu 011; Chao Lu 009 (CoRR, 2024)

Primary Frequency Control of Multiple ON/OFF Load Clusters Considering Capacity Uncertainty and Lock-Time Constraint. - Peixuan Wu; Di Liu 011; Guannan He; Songyan Zhang; Chao Lu 009 (IEEE Trans. Smart Grid, 2024)

Power System Short-Term Voltage Stability Assessment and Margin Estimation via Neural Barrier Function. - Congbo Bi; Di Liu 011; Ximing Zhang; Siting Zhu; Shiyang Li; Chao Fu; Chao Lu 009 (IEEE Trans Autom. Sci. Eng., 2025)