D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 37 Citations 5,934 194 World Ranking 3100 National Ranking 132

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Electrical engineering

His primary areas of study are Mathematical optimization, Electric power system, Wind power, Simulation and Electricity. His biological study deals with issues like Stand-alone power system, which deal with fields such as Power-flow study and Linear programming. His Electric power system study incorporates themes from Extreme learning machine, Machine learning and Artificial intelligence.

Ke Meng has included themes like Battery energy storage system, Energy storage, Economic dispatch and Benchmark in his Wind power study. His biological study spans a wide range of topics, including Battery and Reliability engineering. His studies in Electricity integrate themes in fields like Fuzzy logic, Renewable energy and Radial basis function.

His most cited work include:

  • Electric Vehicle Battery Charging/Swap Stations in Distribution Systems: Comparison Study and Optimal Planning (264 citations)
  • Quantum-Inspired Particle Swarm Optimization for Valve-Point Economic Load Dispatch (225 citations)
  • Optimal Allocation of Energy Storage System for Risk Mitigation of DISCOs With High Renewable Penetrations (215 citations)

What are the main themes of his work throughout his whole career to date?

Electric power system, Control theory, Mathematical optimization, Wind power and Renewable energy are his primary areas of study. Ke Meng interconnects Electricity, Industrial engineering, Extreme learning machine, Simulation and Process in the investigation of issues within Electric power system. His study looks at the relationship between Control theory and fields such as AC power, as well as how they intersect with chemical problems.

His Mathematical optimization study integrates concerns from other disciplines, such as Power system simulation and Economic dispatch. His work carried out in the field of Wind power brings together such families of science as Control engineering, Turbine, Reliability engineering and Benchmark. He studied Renewable energy and Energy storage that intersect with Automotive engineering.

He most often published in these fields:

  • Electric power system (25.94%)
  • Control theory (23.85%)
  • Mathematical optimization (22.18%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (23.85%)
  • Mathematical optimization (22.18%)
  • Renewable energy (19.25%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Control theory, Mathematical optimization, Renewable energy, Electric power system and Reliability engineering. His Control theory study which covers Inverter that intersects with Admittance and Power flow. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Distributed generation, Nonlinear system, Economic dispatch and Backup.

His research integrates issues of Electricity, Energy storage, Energy management and Solar energy in his study of Renewable energy. The various areas that Ke Meng examines in his Electric power system study include Key and Smart grid. As a part of the same scientific study, Ke Meng usually deals with the Offshore wind power, concentrating on Genetic algorithm and frequently concerns with Wind power.

Between 2019 and 2021, his most popular works were:

  • Thermal Inertial Aggregation Model for Integrated Energy Systems (21 citations)
  • Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting (18 citations)
  • A comprehensive review of variable renewable energy levelized cost of electricity (14 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Electrical engineering
  • Machine learning

His main research concerns Control theory, Renewable energy, Mathematical optimization, Microgrid and Voltage. His Control theory research includes elements of Wind power, Induction generator, Doubly fed electric machine and Series compensation. His Renewable energy research is multidisciplinary, incorporating elements of Probabilistic logic, Electric power system and Reliability.

His research ties Efficient energy use and Mathematical optimization together. His Microgrid research includes themes of Islanding, Distributed generation and Resilience. In his study, which falls under the umbrella issue of Voltage, Photovoltaic system is strongly linked to Electronic engineering.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

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.
IEEE Transactions on Power Systems (2014)

366 Citations

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

Ke Meng;Hong Gang Wang;ZhaoYang Dong;Kit Po Wong.
IEEE Transactions on Power Systems (2010)

314 Citations

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.
IEEE Transactions on Power Systems (2014)

295 Citations

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

Weifeng Yao;Junhua Zhao;Fushuan Wen;Zhaoyang Dong.
IEEE Transactions on Power Systems (2014)

259 Citations

Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping

Xia Chen;Zhao Yang Dong;Ke Meng;Yan Xu.
IEEE Transactions on Power Systems (2012)

258 Citations

Coordinated Operational Planning for Wind Farm With Battery Energy Storage System

Fengji Luo;Ke Meng;Zhao Yang Dong;Yu Zheng.
IEEE Transactions on Sustainable Energy (2015)

190 Citations

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.
IEEE Transactions on Industrial Informatics (2012)

162 Citations

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.
Iet Generation Transmission & Distribution (2013)

155 Citations

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

Ke Meng;Zhao Yang Dong;Dian Hui Wang;Kit Po Wong.
IEEE Transactions on Power Systems (2010)

142 Citations

Low Carbon Oriented Expansion Planning of Integrated Gas and Power Systems

Jing Qiu;Zhao Yang Dong;Jun Hua Zhao;Ke Meng.
IEEE Transactions on Power Systems (2015)

136 Citations

Best Scientists Citing Ke Meng

Zhao Yang Dong

Zhao Yang Dong

UNSW Sydney

Publications: 81

Yan Xu

Yan Xu

Nanyang Technological University

Publications: 61

Fengji Luo

Fengji Luo

University of Sydney

Publications: 43

Joao P. S. Catalao

Joao P. S. Catalao

University of Porto

Publications: 36

David J. Hill

David J. Hill

UNSW Sydney

Publications: 31

Kit Po Wong

Kit Po Wong

University of Western Australia

Publications: 29

Junhua Zhao

Junhua Zhao

Chinese University of Hong Kong, Shenzhen

Publications: 29

Zhao Xu

Zhao Xu

Hong Kong Polytechnic University

Publications: 26

Fushuan Wen

Fushuan Wen

Zhejiang University

Publications: 24

Qiuwei Wu

Qiuwei Wu

Technical University of Denmark

Publications: 17

Zhe Chen

Zhe Chen

Aalborg University

Publications: 16

Jamshid Aghaei

Jamshid Aghaei

Lappeenranta University of Technology

Publications: 16

Yonghua Song

Yonghua Song

University of Macau

Publications: 13

Zechun Hu

Zechun Hu

Tsinghua University

Publications: 13

Mohammad Shahidehpour

Mohammad Shahidehpour

Illinois Institute of Technology

Publications: 13

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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