一、基本情况

李炳绪，男，中共党员，工学博士，湖南大学电气与信息工程学院副教授。

 

二、教育工作背景

2025.01~至今 湖南大学，电气与信息工程学院，副教授

2022.10~2024.12 香港理工大学，建筑环境与能源工程学院，Postdoctoral Fellow (博士后研究员)

2022.06~2022.09 香港理工大学，建筑环境与能源工程学院，Research Associate

2019.07~2022.06 新加坡南洋理工大学，交叉学科研究生院，博士

2013.09~2017.06 西安交通大学，电气工程，学士

 

三、研究方向

1) 需求侧可控负荷电力柔性调控与聚合机制

2) 虚拟电厂中的协调控制与信息通讯技术

3) 建筑能源系统的节能优化控制

 

四、代表性学术论文

[1] Li, B., Cui, C., Zhang, X., & Cai, W. (2020). A data-physical hybrid-driven air balancing method for the ventilation system. IEEE Transactions on Industrial Informatics, 17(10), 6583-6593. (中科院TOP期刊、计算机科学1区, SCI, IF: 11.4)

[2] Li, B., Cai, W., & Liu, X. K. (2021). A novel min-consensus-based distributed control method for multi-zone ventilation systems. IEEE Transactions on Industrial Electronics, 69(8), 8284-8295. (中科院TOP期刊、工程技术1区, SCI, IF: 8.0)

[3] Li, B., Cheng, F., Zhang, X., Cui, C., & Cai, W. (2021). A novel semi-supervised data-driven method for chiller fault diagnosis with unlabeled data. Applied Energy, 285, 116459. (中科院TOP期刊、工程技术1区, SCI, IF: 10.4)

[4] Li, B., Wu, B., Peng, Y., & Cai, W. (2022). Tube-based robust model predictive control of multi-zone demand-controlled ventilation systems for energy saving and indoor air quality. Applied Energy, 307, 118297. (中科院TOP期刊、工程技术1区, SCI, IF: 10.4)

[5] Li, B., & Cai, W. (2022). A novel CO2-based demand-controlled ventilation strategy to limit the spread of COVID-19 in the indoor environment. Building and Environment, 219, 109232. (中科院TOP期刊、工程技术1区, SCI, IF: 7.2)

[6] Li, B., & Wang, S. (2023). Multi-objective optimal control of multi-zone VAV systems for adaptive switching between normal and pandemic modes. Building and Environment, 243, 110626. (中科院TOP期刊、工程技术1区, SCI, IF: 7.2)

[7] Li, B., Wang, S., & Li, X. (2024). A practical real-time control strategy for high-performance building HVAC operation concerning potential pandemic outbreaks in post-pandemic era. Building and Environment, 263, 111856. (中科院TOP期刊、工程技术1区, SCI, IF: 7.2)

[8] Li, B., Cheng, F., Cai, H., Zhang, X., & Cai, W. (2021). A semi-supervised approach to fault detection and diagnosis for building HVAC systems based on the modified generative adversarial network. Energy and Buildings, 246, 111044. (中科院TOP期刊、工程技术2区, SCI, IF: 6.7)

[9] Tang, H., Li, B., Zhang, Y., Pan, J., & Wang, S. (2024). A coordinated predictive scheduling and real-time adaptive control for integrated building energy systems with hybrid storage and rooftop PV. Renewable Energy, 122047. (中科院TOP期刊、工程技术1区, SCI, IF: 8.1)