基本信息
views: 142

Bio
Hao Wu received the B.E degree from the Shanghai Jiaotong University, China, in 1996, and the M.S and Ph.D degree from Zhejiang University, China, in 1999 and 2003 respectively. All degrees are in electrical engineering. He visited Hong Kong Polytechnic University from 2003 to 2004 and Wisconsin-Madison University from 2009 to 2010.
He is now an associate Professor in the school of electrical engineering at Zhejiang University, China. His research interests are in power system operation and optimization, voltage stability and control, load characteristic analysis and modeling, power system cascading failure. He has published more than 50 journal papers in English or in Chinese.
His current interest mainly lies in power system parametric problem, which is a general category of problems of assessing the impact of external factors on power system performances. Both deterministic and stochastic factors are universally treated as power system parameters, and the parametric problem can be described mathematically as either a set of nonlinear equations or differential-algebraic equations, or nonlinear programming model. Polynomial approximation techniques are used to tackle the parametric problem, so that explicit polynomial expressions can be obtained that describe the relationships between system performances and parameters.
He is now an associate Professor in the school of electrical engineering at Zhejiang University, China. His research interests are in power system operation and optimization, voltage stability and control, load characteristic analysis and modeling, power system cascading failure. He has published more than 50 journal papers in English or in Chinese.
His current interest mainly lies in power system parametric problem, which is a general category of problems of assessing the impact of external factors on power system performances. Both deterministic and stochastic factors are universally treated as power system parameters, and the parametric problem can be described mathematically as either a set of nonlinear equations or differential-algebraic equations, or nonlinear programming model. Polynomial approximation techniques are used to tackle the parametric problem, so that explicit polynomial expressions can be obtained that describe the relationships between system performances and parameters.
Research Interests
Papers共 136 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
APPLIED ENERGY (2025)
SUSTAINABLE ENERGY GRIDS & NETWORKS (2025)
MATHEMATICSno. 19 (2024)
2024 IEEE 2ND INTERNATIONAL CONFERENCE ON POWER SCIENCE AND TECHNOLOGY, ICPST 2024pp.293-298, (2024)
IEEE ACCESS (2024): 33816-33831
Automation of Electric Power Systemsno. 11 (2023)
Load More
Author Statistics
#Papers: 136
#Citation: 1579
H-Index: 22
G-Index: 34
Sociability: 6
Diversity: 3
Activity: 34
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn