Deep Learning for Short-Term Voltage Stability Assessment of Power Systems. - Meng Zhang 033; Jiazheng Li 006; Yang Li 011; Runnan Xu (IEEE Access, 2021)

Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments. - Yang Li 011; Bin Wang 027; Zhen Yang; Jiazheng Li 006; Guoqing Li (CoRR, 2021)

Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game. - Yang Li 011; Bin Wang 027; Zhen Yang; Jiazheng Li 006; Chen Chen 007 (CoRR, 2021)

Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach. - Yang Li 011; Jiazheng Li 006; Yi Wang 022 (IEEE Trans. Ind. Informatics, 2022)

Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response. - Yang Li 011; Meng Han; Mohammad Shahidehpour; Jiazheng Li 006; Chao Long (CoRR, 2023)

ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data Imputation. - Yang Li 011; Hanjie Wang; Yuanzheng Li; Jiazheng Li 006; Zhaoyang Dong (CoRR, 2025)