黄超
Huang Chao

系 所：
|计算机科学与技术系|

职 称：
副教授  否

职 务：


办公地点：
机电楼402

办公电话：


电子邮箱：
chaohuang@ustb.edu.cn



本科课程：
数值计算方法

研究生课程：


科研方向：
数据挖掘 计算智能 智慧能源

学术与社会兼职：
IEEE会员 CCF会员




简历
黄超博士，哈尔滨工业大学学士（2011），法国贡比涅技术大学硕士（2013），香港城市大学博士（2017），香港城市大学博士后（2018）。


代表性论文
1) C. Huang, L Wang, and L. L. Lai, “Data-driven Short-term Solar Irradiance Forecasting Based on Information of Neighboring Sites”, IEEE Transactions on Industrial Electronics, early access (DOI: 10.1109/TIE.2018.**), 2018.
2) C. Huang, L. Wang, R. S. C. Yeung, Z. Zhang, H. S. H. Chung and A. Bensoussan, “A prediction model guided Jaya algorithm for the PV system maximum power point tracking,” IEEE Transactions on Sustainable Energy, vol. 9, pp. 45-55, Jan. 2018. （ESI高被引论文）
3) C. Huang, A. Bensoussan, M. Edesess, and K. L. Tsui, "Improvement in artificial neural network-based estimation of grid-connected photovoltaic power output," Renewable Energy, vol. 97, pp. 838-848, Nov 2016.
4) C. Huang, M. Edesess, A. Bensoussan, and K. L. Tsui, "Performance Analysis of a Grid-Connected Upgraded Metallurgical Grade Silicon Photovoltaic System," Energies, vol. 9, May 2016.
5) C. Huang and L. Wang, “Gaussian Process Regression Based Modeling of Lithium-ion Battery Temperature-dependent Open-circuit-voltage”, IET Electronics Letters, vol.53, pp.1214-1216, Aug. 2017.
6) L. Wang, C. Huang, and L. Huang, “Parameter Estimation of the Soil Water Retention Curve Model with Jaya Algorithm,” Computers and Electronics in Agriculture, vol. 151, pp. 349-353, 2018.
7) L. Wang and C. Huang, “A Novel Elite Opposition-Based Jaya Algorithm for Parameter Estimation of Photovoltaic Cell Models”, Optik-International Journal for Light and Electron and Optics, vol. 155, pp. 351-356, 2018.
L. Wang, Z. Zhang, C. Huang, and K. L. Tsui, “A GPU-accelerated Parallel Jaya Algorithm for Efficiently Estimating Li-ion Batt


科研业绩
纵向项目：
中央高校基本科研业务费， “基于人工智能的光伏MPPT控制方法研究”，2018.10-2021.09，30万


获得奖励/专利