研究领域

• 主要从事机器学习、数据挖掘和计算机视觉及其工业应用等方面的研究

科研项目

• 风电机组发电检测及调度优化--北京市优秀人才培养资助专项,进行,

论文成果 More>>

• C. Huang, J. Zhang, L. Cao, L. Wang(通讯作者), X. Luo, J.H. 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..
• Z. Wang, L. Wang(通讯作者), and C. Huang, “A Fast Abnormal Data Cleaning Algorithm for Performance Evaluation of Wind Turbine,” IEEE Transactions on Instrumentation and Measurement, vol. 70, article no. 5006512, 2021..
• Z. Wang, L. Wang(通讯作者), C. Huang, Z. Zhang, and X. Luo, “Soil-Moisture-Sensor-Based Automated Soil Water Content Cycle Classification with a Hybrid Symbolic Aggregate Approximation Algorithm,” IEEE Internet of Things Journal, vol. 8, no. 18, pp. 14003–14012, 2021..
• L. Yang, L. Wang(通讯作者), Z. Zheng, and Z. Zhang, “A Continual Learning-based Framework for Developing a Single Wind Turbine Cybertwin Adaptively Serving Multiple Modeling Tasks,” IEEE Transactions on Industrial Informatics, in press, 2021..
• L. Wang, Z. Zhang, and X. Luo, “A Two-stage Data-driven Approach for Image based Wind Turbine Blade Crack Inspections,” IEEE-ASME Transactions on Mechatronics, vol. 24, no. 3, pp. 1271-1281, 2019. (IF: 4.943).

专利软著

• 一种基于多源异构数据的光伏出力超短期预测方法及系统，2021

著作成果

• L. Wang, Z. Song, Z. Zhang, and C. Huang, “Engineering Applications of Neurocomputing,” Lausanne: Frontiers Media SA, 2022.