Hu, Weihao

Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review

Cao, D., Hu, W., Zhao, J., Zhang, G., Zhang, B., Liu, Z., Chen, Z., & Blaabjerg, F. (2020) · Journal of Modern Power Systems and Clean Energy

Electric Power System OptimizationSmart Grid Energy Management

Cited by 460

An extended Kalman filter based SOC estimation method for Li-ion battery

Cui, Z., Hu, W., Zhang, G., Zhang, Z., & Chen, Z. (2022) · Energy Reports

Battery Modeling and ManagementControl Systems and Identification

Cited by 108

State of health estimation for lithium battery random charging process based on CNN-GRU method

Zheng, Y., Hu, J., Chen, J., Deng, H., & Hu, W. (2023) · Energy Reports

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 107

Physics-informed Graphical Representation-enabled Deep Reinforcement Learning for Robust Distribution System Voltage Control

Cao, D., Zhao, J., Hu, J., Pei, Y., Huang, Q., Chen, Z., & Hu, W. (2024) · IEEE Transactions on Smart Grid

Optimal Power Flow DistributionSmart Grid and Power Systems

Cited by 103

Decentralized Graphical-Representation-Enabled Multi-Agent Deep Reinforcement Learning for Robust Control of Cyber-Physical Systems

Cao, D., Hu, J., Liu, Y., & Hu, W. (2024) · IEEE Transactions on Reliability

Optimal Power Flow DistributionMicrogrid Control and Optimization

Cited by 14