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Wenhu Tang
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2020 – today
- 2024
- [i1]Zihan Tang, Tianyao Ji, Wenhu Tang:
Learning Global and Local Features of Power Load Series Through Transformer and 2D-CNN: An Image-based Multi-step Forecasting Approach Incorporating Phase Space Reconstruction. CoRR abs/2407.11553 (2024) - 2021
- [j13]Baining Zhao, Haijuan Lan, Zhewen Niu, Huiling Zhu, Tong Qian, Wenhu Tang:
Detection and Location of Safety Protective Wear in Power Substation Operation Using Wear-Enhanced YOLOv3 Algorithm. IEEE Access 9: 125540-125549 (2021) - [j12]Baining Zhao, Zhewen Niu, Qiheng Liang, Yanli Xin, Tong Qian, Wenhu Tang, Qinghua Wu:
Signal-to-Signal Translation for Fault Diagnosis of Bearings and Gears With Few Fault Samples. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j11]Wenhao Zhang, Tong Qian, Xingyu Chen, Kecan Huang, Wenhu Tang, Qinghua Wu:
Resilient Economic Control for Distributed Microgrids Under False Data Injection Attacks. IEEE Trans. Smart Grid 12(5): 4435-4446 (2021) - 2020
- [j10]Zhewen Niu, Marek Z. Reformat, Wenhu Tang, Baining Zhao:
Electrical Equipment Identification Method With Synthetic Data Using Edge-Oriented Generative Adversarial Network. IEEE Access 8: 136487-136497 (2020) - [j9]Lei Wang, Qing-Hua Wu, Wenhu Tang:
Improved Energy Balance Control for Boost Converters Without Estimating Circuit Energy Losses. IEEE Access 8: 146323-146330 (2020) - [j8]Tong Qian, Yang Liu, Wenhao Zhang, Wenhu Tang, Mohammad Shahidehpour:
Event-Triggered Updating Method in Centralized and Distributed Secondary Controls for Islanded Microgrid Restoration. IEEE Trans. Smart Grid 11(2): 1387-1395 (2020) - [c12]Songbo Chen, Wenhu Tang, Tianyao Ji, Huiling Zhu, Ye Ouyang, Wenbo Wang:
Detection of Safety Helmet Wearing Based on Improved Faster R-CNN. IJCNN 2020: 1-7 - [c11]Yaoquan Yu, Yuefeng Guo, Zhiyuan Zhang, Mengshi Li, Tianyao Ji, Wenhu Tang, Qinghua Wu:
Intelligent Classification and Automatic Annotation of Violations based on Neural Network Language Model. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j7]Zeyuan Yu, Zhewen Niu, Wenhu Tang, Qinghua Wu:
Deep Learning for Daily Peak Load Forecasting-A Novel Gated Recurrent Neural Network Combining Dynamic Time Warping. IEEE Access 7: 17184-17194 (2019) - [j6]Jiujiang Zhou, Yanli Xin, Wenhu Tang, Gang Liu, Qinghua Wu:
Impact Factor Identification for Switching Overvoltage in an Offshore Wind Farm by Analyzing Multiple Ignition Transients. IEEE Access 7: 64651-64662 (2019) - 2018
- [j5]Yihao Yang, Wenhu Tang, Yang Liu, Yanli Xin, Qinghua Wu:
Quantitative Resilience Assessment for Power Transmission Systems Under Typhoon Weather. IEEE Access 6: 40747-40756 (2018) - 2017
- [c10]Lei Wang, Q. H. Wu, Wenhu Tang, B. Li, Z. X. Xu:
Energy balance analysis and control for boost converters. IECON 2017: 8194-8200 - 2016
- [j4]Lei Wang, Q. H. Wu, Y. K. Tao, Wenhu Tang:
Switching Control of Buck Converter Based on Energy Conservation Principle. IEEE Trans. Control. Syst. Technol. 24(5): 1779-1787 (2016) - 2015
- [c9]H. Z. Li, S. X. Chen, Tong Qian, Wenhu Tang, Q. H. Wu:
Power transformer fault classification by combining genetic reduction with optimized multilayer support vector machine. ISGT Asia 2015: 1-5 - [c8]Y. K. Tao, Q. Henry Wu, Wenhu Tang, Lei Wang:
Voltage sensorless predictive direct power control for renewable energy integration under grid fault conditions. ISGT Asia 2015: 1-5 - 2014
- [j3]Wenhu Tang, Long Yan, Zhen Yang, Q. Henry Wu:
Improved document ranking in ontology-based document search engine using evidential reasoning. IET Softw. 8(1): 33-41 (2014) - 2013
- [c7]Farhad Davoodi Samirmi, Wenhu Tang, Q. Henry Wu:
Feature selection in power transformer fault diagnosis based on dissolved gas analysis. ISGT Europe 2013: 1-5 - 2012
- [c6]Farhad Davoodi Samirmi, Wenhu Tang, Q. Henry Wu:
Implementation of Gaia methodology for multi-agent based transformer condition monitoring. ISGT Europe 2012: 1-8
2000 – 2009
- 2009
- [j2]Almas Shintemirov, Wenhu Tang, Q. H. Wu:
Power Transformer Fault Classification Based on Dissolved Gas Analysis by Implementing Bootstrap and Genetic Programming. IEEE Trans. Syst. Man Cybern. Part C 39(1): 69-79 (2009) - [j1]Z. Yang, Wenhu Tang, Almas Shintemirov, Q. H. Wu:
Association Rule Mining-Based Dissolved Gas Analysis for Fault Diagnosis of Power Transformers. IEEE Trans. Syst. Man Cybern. Part C 39(6): 597-610 (2009) - 2007
- [c5]Mengshi Li, W. J. Tang, Wenhu Tang, Q. H. Wu, Jon R. Saunders:
Bacterial Foraging Algorithm with Varying Population for Optimal Power Flow. EvoWorkshops 2007: 32-41 - [c4]Almas Shintemirov, Wenhu Tang, Z. Lu, Q. H. Wu:
Simplified Transformer Winding Modelling and Parameter Identification Using Particle Swarm Optimiser with Passive Congregation. EvoWorkshops 2007: 145-152 - [c3]Y. N. Fei, Z. Lu, Wenhu Tang, Q. H. Wu:
Harmonic Estimation Using a Global Search Optimiser. EvoWorkshops 2007: 261-270 - 2005
- [c2]Wenhu Tang, Shan He, Emmanuel Prempain, Q. H. Wu, J. Fitch:
A particle swarm optimiser with passive congregation approach to thermal modelling for power transformers. Congress on Evolutionary Computation 2005: 2745-2751 - 2000
- [c1]Wenhu Tang, H. Zeng, K. I. Nuttall, Z. Richardson, E. Simonson, Q. H. Wu:
Development of Power Transformer Thermal Models for Oil Temperature Prediction. EvoWorkshops 2000: 195-204
Coauthor Index
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