Welcome to X-Laboratory
Research at the intersection of artificial intelligence and modern power systems, spanning large models, intelligent forecasting, optimization, and grid monitoring.
Recent Results (Year 2026)
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 · Journal article
Privacy-preserving federated ADMM for distributed OPF meets communication failures
International Journal of Electrical Power & Energy Systems · Journal article
Semantic-probabilistic co-optimization framework for distributed non-linear optimal power flow
International Journal of Electrical Power & Energy Systems · Journal article
Smart Generation Control for Interconnected Power System Based on Self-Learning Reward Function
IEEE Transactions on Industrial Informatics · Journal article
Full publication details can be found in the publications archive.
Other results (Year 2026)
Nonstationary Multioutput Forecasting Framework With Adaptive Location-Aware Bayesian Sampling for Data-Scarce Smart Grids
IEEE Transactions on Industrial Informatics · Journal article
2026Contact
Jiangjiao Xu
Principal Investigator
X-Laboratory
Division of Electrical Engineering
Shanghai University of Electric Power
2588 Changyang Road, Yangpu District, Shanghai, China