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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
54
Citations
10129
World Ranking
2309
National Ranking
77

Overview

Ke Meng is affiliated with the University of New South Wales in Australia and works primarily in the field of Engineering, with a focus on Electrical and Electronic Engineering. Their research covers a broad range of topics related to energy systems and smart grid technologies.

Their main areas of study include:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Electric Vehicles and Infrastructure
  • Quantum and Electron Transport Phenomena
  • Power System Optimization and Stability
  • Power System Reliability and Maintenance

Ke Meng has co-authored extensively with a group of frequent collaborators, including:

  • Zhao Yang Dong (17 publications together)
  • Zhaoyang Dong (8 publications together)
  • Xiangnan Sun (8 publications together)
  • Xianrong Gu (7 publications together)
  • Lidan Guo (7 publications together)

Their research outputs have been published in several key venues, notable among these are:

  • Advanced Materials (6 publications)
  • 2020 International Conference on Smart Grids and Energy Systems (SGES) (5 publications)
  • SSRN Electronic Journal (5 publications)
  • International Journal of Electrical Power & Energy Systems (4 publications)
  • IEEE Transactions on Power Systems (4 publications)

Some of their recent papers include:

  • "A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications," 2020, Energy Policy
  • "Economic Dispatch of Integrated Energy Systems With Robust Thermal Comfort Management," 2020, IEEE Transactions on Sustainable Energy
  • "Integrated distribution expansion planning considering stochastic renewable energy resources and electric vehicles," 2020, Applied Energy
  • "A multi-disaster-scenario distributionally robust planning model for enhancing the resilience of distribution systems," 2020, International Journal of Electrical Power & Energy Systems
  • "Robust Regional Coordination of Inverter-Based Volt/Var Control via Multi-Agent Deep Reinforcement Learning," 2021, IEEE Transactions on Smart Grid

Best Publications

  • Electric Vehicle Battery Charging/Swap Stations in Distribution Systems: Comparison Study and Optimal Planning

    Yu Zheng;Zhao Yang Dong;Yan Xu;Ke Meng

  • A Multi-Objective Collaborative Planning Strategy for Integrated Power Distribution and Electric Vehicle Charging Systems

    Weifeng Yao;Junhua Zhao;Fushuan Wen;Zhaoyang Dong

  • Quantum-Inspired Particle Swarm Optimization for Valve-Point Economic Load Dispatch

    Ke Meng;Hong Gang Wang;ZhaoYang Dong;Kit Po Wong

  • Optimal Allocation of Energy Storage System for Risk Mitigation of DISCOs With High Renewable Penetrations

    Yu Zheng;Zhao Yang Dong;Feng Ji Luo;Ke Meng

  • Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping

    Xia Chen;Zhao Yang Dong;Ke Meng;Yan Xu

  • Coordinated Operational Planning for Wind Farm With Battery Energy Storage System

    Fengji Luo;Ke Meng;Zhao Yang Dong;Yu Zheng

  • Quantum-Inspired Particle Swarm Optimization for Power System Operations Considering Wind Power Uncertainty and Carbon Tax in Australia

    Fang Yao;Zhao Yang Dong;Ke Meng;Zhao Xu

  • Low Carbon Oriented Expansion Planning of Integrated Gas and Power Systems

    Jing Qiu;Zhao Yang Dong;Jun Hua Zhao;Ke Meng

  • A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications

    Yang Andrew Wu;Artie W. Ng;Zichao Yu;Jie Huang

  • Two-stage energy management for networked microgrids with high renewable penetration

    Dongxiao Wang;Jing Qiu;Luke Reedman;Ke Meng

  • Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine

    Rui Zhang;Zhao Yang Dong;Yan Xu;Ke Meng

  • Online Distributed MPC-Based Optimal Scheduling for EV Charging Stations in Distribution Systems

    Yu Zheng;Yue Song;David J. Hill;Ke Meng

  • A comprehensive review of variable renewable energy levelized cost of electricity

    Wei Shen;Xi Chen;Jing Qiu;Jennifier A Hayward

  • Stochastic Collaborative Planning of Electric Vehicle Charging Stations and Power Distribution System

    Shu Wang;Zhao Yang Dong;Fengji Luo;Ke Meng

  • A Self-Adaptive RBF Neural Network Classifier for Transformer Fault Analysis

    Ke Meng;Zhao Yang Dong;Dian Hui Wang;Kit Po Wong

  • Real-time transient stability assessment model using extreme learning machine

    Y. Xu;Z.Y. Dong;K. Meng;R. Zhang

  • Optimal allocation of battery energy storage systems in distribution networks with high wind power penetration

    Yongxi Zhang;Zhao Yang Dong;Fengji Luo;Yu Zheng

  • Optimal scheduling of distributed energy resources as a virtual power plant in a transactive energy framework

    Jing Qiu;Ke Meng;Yu Zheng;Zhao Yang Dong

  • Multi-Objective Dynamic VAR Planning Against Short-Term Voltage Instability Using a Decomposition-Based Evolutionary Algorithm

    Yan Xu;Zhao Yang Dong;Ke Meng;Wei Feng Yao

  • Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition

    Yongxi Zhang;Shuyun Ren;Zhao Yang Dong;Yan Xu

  • A Linear Programming Approach to Expansion Co-Planning in Gas and Electricity Markets

    Jing Qiu;Hongming Yang;Zhao Yang Dong;Jun Hua Zhao

Frequent Co-Authors

Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Kit Po Wong
Kit Po Wong University of Western Australia
Zhao Xu
Zhao Xu Hong Kong Polytechnic University
Junhua Zhao
Junhua Zhao Chinese University of Hong Kong, Shenzhen
Yan Xu
Yan Xu Nanyang Technological University
Yingying Chen
Yingying Chen Rutgers, The State University of New Jersey
Loi Lei Lai
Loi Lei Lai Guangdong University of Technology
Weidong Xiao
Weidong Xiao University of Sydney
Herbert Ho-Ching Iu
Herbert Ho-Ching Iu University of Western Australia
Fushuan Wen
Fushuan Wen Zhejiang University

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