黃超
人物簡歷
哈爾濱工業大學學士（2011），法國貢比涅技術大學碩士（2013），香港城市大學博士（2017），香港城市大學博士後（2018）。
研究方向
科研項目
基於智能計算的分布式光伏發電工業園區能量管理關鍵算法研究，廣東省基礎與應用基礎研究基金省市聯合基金-青年項目，2020.1.1-2021.12.31，項目負責人；
大數據驅動的風電機組動態發電性能監測技術，北京科技大學順德創新學院科技創新專項,2020.1.1-2021.12.31，參與；
大數據驅動的智能光伏樓宇能量管理技術，北京科技大學順德創新學院科技創新專項,2021.1.1-2022.12.31，項目負責人；
數據驅動的阿爾茲海默病早期預測與干預控制研究，北京科技大學順德創新學院科技創新專項,2021.9.1-2023.8.31，參與；
面向CT影像數據的急性缺血性卒中梗死灶分割模型研究，北京科技大學順德創新學院科技創新專項,2021.9.1-2023.8.31，參與。
學術成果
1) Chao Huang, Hongcai Zhang*, Yonghua Song, Long Wang, Tanveer Ahmad, and Xiong Luo, 「Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost」, IEEE Transactions on Smart Grid, vol. 12, no. 4, pp. 3043-3055, 2021.
2) Chao Huang, Hongcai Zhang*, Long Wang, Xiong Luo, Yonghua Song, 「Mixed deep reinforcement learning considering discrete-continuous hybrid action space for smart home energy management」, Journal of Modern Power Systems and Clean Energy, vol. 10, no. 3, pp.743-754, 2022.
3) 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, vol. 66, no. 12, pp. 9918-9927, 2019.
4) 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, 2018.
5) C. Huang, L. Wang, Z. Zhang*, R. S. C. Yeung, A. Bensoussan, and H. S. H. Chung, 「A Novel Spline Model Guided Maximum Power Point Tracking Method for Photovoltaic Systems」, IEEE Transactions on Sustainable Energy, vol. 11, no. 3, pp. 1309-1322, 2020.
6) C. Huang, J. Zhang, L. Cao, L. Wang*, X. Luo, J. Wang, and A. Bensoussan, 「Robust Forecasting of River-flow Based on Convolutional Neural Network」, IEEE Transactions on Sustainable Computing, vol. 5, no. 4, pp. 594-600, 2020.
7) C. Huang, Z. Zhang, and L. Wang*, 「PSOPruner: PSO-Based Deep Convolutional Neural Network Pruning Method for PV Module Defects Classification」, IEEE Journal of Photovoltaics, vol.12, no. 6, pp. 1550-1558, 2022.
8) H. Yang, C. Huang*, L. Wang, and X. Luo, 「An improved encoder-decoder network for ore image segmentation」, IEEE Sensors Journal, vol. 21, no. 10, pp. 11469-11475, 2021.
9) 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.
10) C. Huang, Z. Zhao, L. Wang, Z. Zhang*, and X. Luo, "Point and Interval Forecasting of Solar Irradiance with an Active Gaussian Process", IET Renewable Power Generation, vol. 14, no. 6, pp. 1020-1030, 2020.