World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
12852
World Ranking
2958
National Ranking
594

Overview

Wenyuan Li is affiliated with Chongqing University in China and has a significant body of research primarily in engineering, with a focus on electrical and electronic engineering. Their work encompasses a range of topics including power system reliability and maintenance, optimal power flow distribution, and integrated energy systems optimization.

Li has contributed to the following main fields of study:

  • Engineering

Their subfields of study include:

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Geophysics
  • Artificial Intelligence
  • Mechanical Engineering

The principal topics of research covered by Li encompass:

  • Power System Reliability and Maintenance
  • Optimal Power Flow Distribution
  • Integrated Energy Systems Optimization
  • Electric Power System Optimization
  • Geological and Geochemical Analysis
  • Power System Optimization and Stability
  • Energy Load and Power Forecasting

Li has frequently published in the following venues:

  • IEEE Transactions on Power Systems
  • International Journal of Electrical Power & Energy Systems
  • IEEE Transactions on Sustainable Energy
  • SSRN Electronic Journal
  • arXiv (Cornell University)

Frequent coauthors collaborating with Li include:

  • Kaigui Xie
  • Juan Yu
  • Zhifang Yang
  • Junjie Tang
  • Bo Hu

Notable recent publications by Wenyuan Li include:

  • "A novel deep learning ensemble model with data denoising for short-term wind speed forecasting," 2020, Energy Conversion and Management
  • "A review of scenario analysis methods in planning and operation of modern power systems: Methodologies, applications, and challenges," 2021, Electric Power Systems Research
  • "Reliability Assessment of Integrated Energy Systems Considering Emergency Dispatch Based on Dynamic Optimal Energy Flow," 2021, IEEE Transactions on Sustainable Energy
  • "A Multi-Data Driven Hybrid Learning Method for Weekly Photovoltaic Power Scenario Forecast," 2021, IEEE Transactions on Sustainable Energy
  • "Enhancement of biodiesel yield from a halophilic green microalga isolated under extreme hypersaline conditions through stepwise salinity adaptation strategy," 2020, Bioresource Technology

Best Publications

  • The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee

    C. Grigg;P. Wong;P. Albrecht;R. Allan

  • Reliability Assessment of Electric Power Systems Using Monte Carlo Methods

    Roy Billinton;Wenyuan Li

  • Risk Assessment Of Power Systems: Models, Methods, and Applications

    Unknown

  • Reliability modeling of multi-state degraded systems with multi-competing failures and random shocks

    Wenjian Li;Hoang Pham

  • Frequency Dynamics Constrained Unit Commitment With Battery Energy Storage

    Unknown

  • Reliability assessment of photovoltaic power systems: Review of current status and future perspectives

    Peng Zhang;Wenyuan Li;Sherwin Li;Yang Wang;Yang Wang

  • An inspection-maintenance model for systems with multiple competing processes

    Wenjian Li;Hoang Pham

  • Estimating wind speed probability distribution using kernel density method

    Zhilong Qin;Wenyuan Li;Xiaofu Xiong

  • Reliability Evaluation of Grid-Connected Photovoltaic Power Systems

    Peng Zhang;Yang Wang;Weidong Xiao;Wenyuan Li

  • Risk Analysis for Distribution Systems in the Northeast U.S. Under Wind Storms

    Gengfeng Li;Peng Zhang;Peter B. Luh;Wenyuan Li

  • Synergistic Operation of Electricity and Natural Gas Networks via ADMM

    Yunfeng Wen;Xiaobin Qu;Wenyuan Li;Xuan Liu

  • Generation System Reliability Evaluation Incorporating Correlations of Wind Speeds With Different Distributions

    Zhilong Qin;Wenyuan Li;Xiaofu Xiong

  • Power System Risk Assessment Using a Hybrid Method of Fuzzy Set and Monte Carlo Simulation

    Wenyuan Li;Jiaqi Zhou;Kaigui Xie;Xiaofu Xiong

  • Probabilistic Optimal Power Flow Considering Correlations of Wind Speeds Following Different Distributions

    Yiming Li;Wenyuan Li;Wei Yan;Juan Yu

  • A novel deep learning ensemble model with data denoising for short-term wind speed forecasting

    Zhiyun Peng;Sui Peng;Lidan Fu;Binchun Lu

  • Reliability Analysis of Wide-Area Measurement System

    Yang Wang;Wenyuan Li;Jiping Lu

  • Automated Load Curve Data Cleansing in Power Systems

    Jiyi Chen;Wenyuan Li;Adriel Lau;Jiguo Cao

  • Incorporating aging failures in power system reliability evaluation

    Wenyuan Li

  • A new node voltage stability index based on local voltage phasors

    Yang Wang;Wenyuan Li;Jiping Lu

  • An Unfixed Piecewise-Optimal Reactive Power-Flow Model and its Algorithm for AC-DC Systems

    Juan Yu;Wei Yan;Wenyuan Li;C.Y. Chung

  • Reliability-oriented distribution network reconfiguration considering uncertainties of data by interval analysis

    Peng Zhang;Wenyuan Li;Shouxiang Wang

  • Online Overvoltage Prevention Control of Photovoltaic Generators in Microgrids

    Yang Wang;Peng Zhang;Wenyuan Li;Weidong Xiao

  • Hybrid approach for reliability evaluation of composite generation and transmission systems using Monte-Carlo simulation and enumeration technique

    R. Billinton;L. Wenyuan

  • Incorporating multiple correlations among wind speeds, photovoltaic powers and bus loads in composite system reliability evaluation

    Zhilong Qin;Wenyuan Li;Wenyuan Li;Xiaofu Xiong

  • Power System Operation Risk Assessment Using Credibility Theory

    Yongqing Feng;Wenchuan Wu;Boming Zhang;Wenyuan Li

Frequent Co-Authors

Roy Billinton
Roy Billinton University of Saskatchewan
Ke Wang
Ke Wang Simon Fraser University
Caisheng Wang
Caisheng Wang Wayne State University
Yi Tang
Yi Tang Nanyang Technological University
Chanan Singh
Chanan Singh Texas A&M University
Feng Lin
Feng Lin Wayne State University
Weidong Xiao
Weidong Xiao University of Sydney
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Le Yi Wang
Le Yi Wang Wayne State University
Yan Xu
Yan Xu Nanyang Technological University

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