研究方向
研究方向
人工智能与大模型
探索人工智能及大模型技术在电力系统科研中的应用。
本方向关注人工智能及大模型技术在电力系统科研中的应用。
相关工作包括“大语言模型赋能的智能电网科研创新平台研究”项目。
相关项目
上海市教委人工智能范式改革项目：大语言模型赋能的智能电网科研创新平台研究
上海市教委人工智能范式改革项目，聚焦大语言模型赋能的智能电网科研创新平台。
查看项目相关论文
Distributed deep reinforcement learning for large-scale hybrid hydrogen/electricity refueling optimization with a data-driven electrolyzer model
Privacy-preserving federated ADMM for distributed OPF meets communication failures
Semantic-probabilistic co-optimization framework for distributed non-linear optimal power flow
Smart Generation Control for Interconnected Power System Based on Self-Learning Reward Function
Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid
Electric Water Heaters Management via Reinforcement Learning With Time-Delay in Isolated Microgrids
Multi-objective Reinforcement Learning Based Multi-microgrid System Optimisation Problem