韩英华 - 东北大学 - 东北大学秦皇岛分校

个人简介

教育背景 2005.3–2008.3,东北大学,导航制导与控制,博士 2003.9–2006.3,东北大学,导航制导与控制,硕士 1999.9–2003.7,东北大学秦皇岛分校,测控技术与仪器,学士工作履历 2017.1-至今,东北大学秦皇岛分校,教授 2011.1-2016.12,东北大学秦皇岛分校,副教授 2008.3-2010.12,东北大学秦皇岛分校,讲师学术兼职中国自动化学会信息物理系统控制与决策专业委员会委员中国自动化学会大数据专业委员会委员

研究领域

1、基于深度学习的时序信号处理及其应用 2、基于图像处理的用电行为分析 3、深度强化学习及其应用

近期论文

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Yinghua Han, Keke Li, Chen Wang, Fangyuan Si, Qiang Zhao. Unknown Appliances Detection for Non-Intrusive Load Monitoring Based on Conditional Generative Adversarial Networks [J]. IEEE Transactions on Smart Grid,DOI 10.1109/TSG. 2023. 3261271(SCI检索，1区) Wenjie Qiao, Yinghua Han, Qiang Zhao, Fangyuan Si and Jinkuan Wang. A Distributed Coordination Method for Coupled Traffic-Power Network Equilibrium Incorporating Behavioral Theory [J]. IEEE Transactions on Vehicular Technology, 2022. (SCI检索，1区) Yinghua Han, Keke Li, Hantong Feng and Qiang Zhao. Non-intrusive load monitoring based on semi-supervised smooth teacher graph learning with voltage-current trajectory [J]. Neural Computing & Applications, 2022. (SCI检索，2区) Yinghua Han, Qing Li, Chen Wang and Qiang Zhao. A Novel Knowledge Enhanced Graph Neural Networks for Fault Diagnosis with Application to Blast Furnace Process Safety [J]. Process Safety and Environmental Protection, 2022.（SCI检索，1区） Yinghua Han, Yao Xu, Yaxin Huo and Qiang Zhao. Non-intrusive load monitoring by voltage-current trajectory enabled asymmetric deep supervised hashing[J]. IET Generation Transmission & Distribution. 2021. (SCI检索，2区) Fangyuan Si, Yinghua Han, Jinkuan Wang and Qiang Zhao. Connectivity Verification in Distribution Systems Using Smart Meter Voltage Analytics: A Cloud-Edge Collaboration Approach[J]. IEEE Transactions on Industrial Informatics. 2020.（SCI检索，1区） Fangyuan Si, Yinghua Han, Qiang Zhao and Jinkuan Wang. Cost-effective Operation of the Urban Energy System with Variable Supply and Demand via Coordination of Multi-energy Flows[J]. Energy. 2020.（SCI检索，1区） Yinghua Han, Deshui Yu, Chunhui Yin and Qiang Zhao. Temporal Association Rule Mining and Updating and Their Application to Blast Furnace in the Steel Industry[J]. Computational Intelligence and Neuroscience, 2020.（SCI检索，2区） Zhiao Cao, Yinghua Han, Jinkuan Wang and Qiang Zhao. Two-stage Energy Generation Schedule Market Rolling Optimisation of Highly Wind Power Penetrated Microgrids[J]. International Journal of Electrical Power and Energy Systems, 2019, 112:12-27.（SCI检索，1区） Xiaohan Fang, Yinghua Han, Jinkuan Wang and Qiang Zhao. A Cognitive Control Approach for Microgrid Performance Optimization in Unstable Wireless communication[J]. Neurocomputing, 2019, 355:168-182.（SCI检索，1区）