欢迎来到X-Laboratory实验室
聚焦人工智能与新型电力系统交叉研究，探索大模型、智能预测、优化与电网智能感知技术。
最新成果 (2026年)
Distributed deep reinforcement learning for large-scale hybrid hydrogen/electricity refueling optimization with a data-driven electrolyzer model
International Journal of Electrical Power & Energy Systems · 期刊论文
Privacy-preserving federated ADMM for distributed OPF meets communication failures
International Journal of Electrical Power & Energy Systems · 期刊论文
Semantic-probabilistic co-optimization framework for distributed non-linear optimal power flow
International Journal of Electrical Power & Energy Systems · 期刊论文
Smart Generation Control for Interconnected Power System Based on Self-Learning Reward Function
IEEE Transactions on Industrial Informatics · 期刊论文
完整论文信息请查看 论文列表.
其他成果 (2026年)
Nonstationary Multioutput Forecasting Framework With Adaptive Location-Aware Bayesian Sampling for Data-Scarce Smart Grids
IEEE Transactions on Industrial Informatics · 期刊论文
2026