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黃超
北京科技大學順德創新學院

黃超,男,北京科技大學順德創新學院教授。

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

數據挖掘 計算智能 智慧能源

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.

科研業績

1)國家自然科學基金1項(62002016),主持

2)北京市自然科學基金1項(9204028),主持

3)廣東省基礎與應用基礎基金1項(2019A1515111165),主持[1]

參考資料