- 中文名
- 王龙
- 性 别
- 男
- 工作单位
- 北京科技大学
- 教学职称
- 副教授
- 个人成就
- 2014年香港政府博士奖学金（Hong Kong PhD Fellowship）获得者
IEEE会员 IEEE Power and Energy Society会员 IEEE Council on RFID会员 IEEE Sensors Council会员 IEEE Systems Council 会员 中国电机工程学会会员 国际期刊IEEE Transactions on Cybernetics, IEEE Transactions on Network Science and Engineering, IET Electronics Letters, Journal of Systems [1]
1. L. Wang and Z. Zhang, “Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-taken Images,” IEEE Transactions on Industrial Electronics, vol. 64, no. 9, September 2017. (IF: 7.168(2016年))(JCR: Q1)
2. L. Wang, Z. Zhang, and J. Chen, “Short-term Electricity Price Forecasting with Stacked Denoising Autoencoders,” IEEE Transactions on Power Systems, vol. 32, no. 4, July 2017. (IF: 5.680(2016年))(JCR: Q1)
3. L. Wang, Z. Zhang, H. Long, J. Xu, and R. Liu, “Wind Turbine Gearbox Failure Identification with Deep Neural Networks,” IEEE Transactions on Industrial Informatics, vol. 13, no. 3, pp. 1360-1368, June 2017. (IF: 6.764(2016年))(JCR: Q1)
4. L. Wang, Z. Zhang, J. Xu, and R. Liu, “Wind Turbine Blade Breakage Monitoring with Deep Autoencoders,” IEEE Transactions on Smart Grid, in press, 2016. DOI: 10.1109/TSG.2016.2621135 (IF: 6.645(2016年))(JCR: Q1)
5. C. Huang and L. Wang, “Gaussian Process Regression-Based Modelling of Lithium-Ion Battery Temperature-Dependent Open-Circuit-Voltage,” Electronics Letters, vol. 53, no. 17, 2017. (IF: 1.155(2016年))(JCR: Q3)
6. 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, in press, 2017. DOI: 10.1109/TSTE.2017.2714705 (IF: 4.909(2016年))(JCR: Q1)
7. S. Jang, K.S. Chin, L. Wang, G. Qu, and K.L. Tsui, “Modified Genetic Algorithm-based Feature Selection Combined with Pre-trained Deep Neural Network for Demand Forecasting in Outpatient Department,” Expert Systems with Applications, vol. 82, pp. 216-230, October 2017. (IF: 3.928(2016年))(JCR: Q1)
8. H. Long, L. Wang, Z. Zhang, Z. Song, and J. Xu, “Data-Driven Wind Turbine Power Generation Performance Monitoring,” IEEE Transactions on Industrial Electronics, vol. 62, no. 10, pp. 6627-6635, June 2015. (IF: 7.168(2016年))(JCR: Q1)
9. L. Wang, Z. Zhang, J. Xu, and R. Liu, “Wind Turbine Blade Breakage Monitoring with Deep Autoencoders,” 2017 IEEE Power and Energy Society General Meeting, in press, 2017.
10. L. Wang, H. Long, Z. Zhang, J. Xu, and R. Liu, “Wind Turbine Gearbox Failure Monitoring Based on SCADA Data Analysis,” 2016 IEEE Power and Energy Society General Meeting, Boston, MA, July 2016. [1]
香港研究资助局主题研究计划“Safety, Reliability, and Disruption Management of High Speed Rail and Metro Systems”，参与
香港研究资助局杰出青年学者计划“Scheduling Power Production of Hybrid Power Systems with Data Mining and Computational Intelligence”，参与。
横向项目：
丹麦Dong Energy公司项目“Wind Turbine Generation Performance Monitoring with Representation Learning”，主持 [1]
2014年香港政府博士奖学金（Hong Kong PhD Fellowship）
2014年香港城市大学Chow Yei Ching School of Graduate Studies Entrance Scholarships [1]
