电力人工智能技术（学生就业去向：互联网公司）

在“双碳”目标的驱动下，构建以新能源为主体的新型电力系统是促进现代电力系统低碳转型发展的重要前提与必然趋势。由于随机波动的新能源和复杂易变的多元负荷是新型电力系统的重要组成部分，基于数据驱动的人工智能技术成为构建智慧化能源网络的核心所在。

论文基础

[1] R. Wang et al. Communication-Free Voltage-Regulation and Current-Sharing for DC Microgrids: An Intelligent Edge Control [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(9): 5933-5944. (人工智能-增强学习)

[2] R. Wang, et al. Accurate Current Sharing and Voltage Regulation in Hybrid Wind/Solar Systems: An Adaptive Dynamic Programming Approach [J]. IEEE Transactions on Consumer Electronics, 2022, 68(3): 261-272. (人工智能-增强学习)

[3] Z. Wei, H. Cui, X. Liu, Y. Li and R. Wang. Real-time Reconfiguration-Based All-Cell Flexibility and Capacity Maximum Utilization of Second-Life Batteries[J]. IEEE Transactions on Transportation Electrification, 2024. （人工智能-强化学习）

[4] H. Cui, Z. Wei and R. Wang. Sensor Fusion-enabled State of Charge Estimation of Smart Battery Module[J].  IEEE Transactions on Power Electronics, 2024. （人工智能-深度学习）

[5] Y. Liu, Z. Ye, R. Wang, et al. Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion. [J]. Knowledge-Based Systems, 2024. （人工智能-深度学习）

项目基础

面向新能源消纳的数据-模型-知识混合驱动大电网智能调度理论与方法，国家自然科学基金智能电网联合重点项目-课题3，U23B20118，主持