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
Electronics and Electrical Engineering D-index 30 Citations 3,167 142 World Ranking 3655 National Ranking 430

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Mathematical optimization
  • Electrical engineering

Mathematical optimization, Electric power system, Wind power, Control theory and Economic dispatch are his primary areas of study. His Mathematical optimization study combines topics in areas such as Distributed algorithm and Multi-agent system. His Electric power system research is multidisciplinary, incorporating perspectives in Stability and Reinforcement learning.

His Wind power study incorporates themes from Hybrid power, Stochastic game, Iterative method, Nash equilibrium and Photovoltaic system. His Control theory research includes elements of Control and Dynamic programming. His research investigates the link between Economic dispatch and topics such as Optimization problem that cross with problems in Integer programming, Pipeline transport and Renewable energy.

His most cited work include:

  • Energy Pricing and Dispatch for Smart Grid Retailers Under Demand Response and Market Price Uncertainty (198 citations)
  • Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems (179 citations)
  • Distributed gradient algorithm for constrained optimization with application to load sharing in power systems (175 citations)

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

The scientist’s investigation covers issues in Electric power system, Mathematical optimization, Control theory, Wind power and Control theory. His Electric power system study integrates concerns from other disciplines, such as Optimization problem, Reliability engineering, Renewable energy and Flexibility. His biological study spans a wide range of topics, including Blackout and Electric power transmission.

The Mathematical optimization study combines topics in areas such as Convergence, Robustness and Economic dispatch. His work focuses on many connections between Control theory and other disciplines, such as Stability, that overlap with his field of interest in Boundary. His work on Mixture model expands to the thematically related Wind power.

He most often published in these fields:

  • Electric power system (50.40%)
  • Mathematical optimization (36.90%)
  • Control theory (35.71%)

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

  • Electric power system (50.40%)
  • Control theory (35.71%)
  • Wind power (20.63%)

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

Feng Liu mainly investigates Electric power system, Control theory, Wind power, Mathematical optimization and Renewable energy. The various areas that Feng Liu examines in his Electric power system study include Dynamic demand, Stochastic process, Stochastic differential equation, Turbine and Nonlinear system. Feng Liu has researched Control theory in several fields, including Stability, Hydropower and Automatic Generation Control.

His Wind power study combines topics from a wide range of disciplines, such as Electricity, Economic efficiency, Heating system, Robustness and Flexibility. In his research on the topic of Mathematical optimization, Stationary distribution is strongly related with Energy storage. His study in Renewable energy is interdisciplinary in nature, drawing from both Battery, Iterative method, Reliability engineering and Investment.

Between 2019 and 2021, his most popular works were:

  • Adaptive robust energy and reserve co-optimization of integrated electricity and heating system considering wind uncertainty (19 citations)
  • An Energy Sharing Game With Generalized Demand Bidding: Model and Properties (9 citations)
  • Interdependence of electricity and heat distribution systems coupled by an AA-CAES-based energy hub (7 citations)

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

  • Statistics
  • Electrical engineering
  • Mathematical optimization

Feng Liu spends much of his time researching Electric power system, Control theory, Mathematical optimization, Electricity and Heating system. His studies deal with areas such as Cyber-physical system and Topology as well as Electric power system. His study on Control theory is often connected to Simulation software as part of broader study in Control theory.

His Mathematical optimization research includes themes of Load management, Constraint generation and Economic dispatch. His studies in Electricity integrate themes in fields like Energy and Compressed air energy storage. His work deals with themes such as Wind power and Economic efficiency, which intersect with Heating system.

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

Energy Pricing and Dispatch for Smart Grid Retailers Under Demand Response and Market Price Uncertainty

Wei Wei;Feng Liu;Shengwei Mei.
IEEE Transactions on Smart Grid (2015)

254 Citations

Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems

Peng Yi;Yiguang Hong;Feng Liu.
Automatica (2016)

228 Citations

Distributed gradient algorithm for constrained optimization with application to load sharing in power systems

Peng Yi;Yiguang Hong;Feng Liu.
Systems & Control Letters (2015)

209 Citations

Optimal load-frequency control in restructured power systems

F. Liu;Y.H. Song;J. Ma;S. Mei.
IEE Proceedings - Generation, Transmission and Distribution (2003)

171 Citations

Robust Energy and Reserve Dispatch Under Variable Renewable Generation

Wei Wei;Feng Liu;Shengwei Mei;Yunhe Hou.
IEEE Transactions on Smart Grid (2015)

142 Citations

Distributionally Robust Co-Optimization of Energy and Reserve Dispatch

Wei Wei;Feng Liu;Shengwei Mei.
IEEE Transactions on Sustainable Energy (2016)

124 Citations

2012 Special Issue: A boundedness result for the direct heuristic dynamic programming

Feng Liu;Jian Sun;Jennie Si;Wentao Guo.
Neural Networks (2012)

117 Citations

Game Approaches for Hybrid Power System Planning

Shengwei Mei;Yingying Wang;Feng Liu;Xuemin Zhang.
IEEE Transactions on Sustainable Energy (2012)

89 Citations

The nonlinear internal control of STATCOM: theory and application

Feng Liu;Shengwei Mei;Qiang Lu;Yixin Ni.
International Journal of Electrical Power & Energy Systems (2003)

87 Citations

Distributionally robust hydro-thermal-wind economic dispatch

Yue Chen;Wei Wei;Feng Liu;Shengwei Mei.
Applied Energy (2016)

82 Citations

Best Scientists Citing Feng Liu

Yiguang Hong

Yiguang Hong

Chinese Academy of Sciences

Publications: 58

Shengwei Mei

Shengwei Mei

Tsinghua University

Publications: 38

Haibo He

Haibo He

University of Rhode Island

Publications: 35

Qiuwei Wu

Qiuwei Wu

Technical University of Denmark

Publications: 28

Behnam Mohammadi-Ivatloo

Behnam Mohammadi-Ivatloo

University of Tabriz

Publications: 23

Jinyu Wen

Jinyu Wen

Huazhong University of Science and Technology

Publications: 22

Lei Wu

Lei Wu

Stevens Institute of Technology

Publications: 17

Kai Sun

Kai Sun

University of Tennessee at Knoxville

Publications: 15

David J. Hill

David J. Hill

UNSW Sydney

Publications: 13

Mohammad Shahidehpour

Mohammad Shahidehpour

Illinois Institute of Technology

Publications: 13

Wenchuan Wu

Wenchuan Wu

Tsinghua University

Publications: 12

Chongqing Kang

Chongqing Kang

Tsinghua University

Publications: 12

Wei Gu

Wei Gu

Philips (China)

Publications: 12

Zhao Yang Dong

Zhao Yang Dong

UNSW Sydney

Publications: 11

Kazem Zare

Kazem Zare

University of Tabriz

Publications: 11

Jamshid Aghaei

Jamshid Aghaei

Lappeenranta University of Technology

Publications: 11

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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