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 67 Citations 17,206 490 World Ranking 340 National Ranking 11

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

Zhao Yang Dong focuses on Electric power system, Mathematical optimization, Control theory, Wind power and Smart grid. His Electric power system study combines topics in areas such as Electricity market, Extreme learning machine, Simulation, Artificial intelligence and Machine learning. His Control theory research is multidisciplinary, relying on both Control engineering, Fault, Induction generator and Stability.

The various areas that he examines in his Wind power study include Wind speed, Microgrid, Reliability engineering and Robustness. His work is dedicated to discovering how Reliability engineering, Business system planning are connected with Renewable energy and other disciplines. His study in Smart grid is interdisciplinary in nature, drawing from both Computer security, Real-time computing and Phasor measurement unit.

His most cited work include:

  • Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network (495 citations)
  • Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine (387 citations)
  • A Review of False Data Injection Attacks Against Modern Power Systems (332 citations)

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

His primary areas of investigation include Electric power system, Control theory, Mathematical optimization, Electricity market and Wind power. Zhao Yang Dong usually deals with Electric power system and limits it to topics linked to Renewable energy and Smart grid. His studies in Control theory integrate themes in fields like Control engineering, AC power, Voltage and Stability.

His Mathematical optimization study frequently draws connections between adjacent fields such as Economic dispatch. His Electricity market study combines topics in areas such as Environmental economics, Microeconomics, Industrial organization and Operations research. His work carried out in the field of Wind power brings together such families of science as Turbine, Wind speed and Distributed generation.

He most often published in these fields:

  • Electric power system (34.07%)
  • Control theory (22.01%)
  • Mathematical optimization (18.58%)

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

  • Renewable energy (11.17%)
  • Control theory (22.01%)
  • Electric power system (34.07%)

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

Zhao Yang Dong mainly focuses on Renewable energy, Control theory, Electric power system, Reliability engineering and Electricity. His studies in Renewable energy integrate themes in fields like Sensitivity, Automotive engineering, Energy storage, Electricity generation and Demand response. His Control theory research is multidisciplinary, relying on both Wind power and Inverter, Voltage.

His Electric power system study combines topics from a wide range of disciplines, such as Fault and Scheduling. His Reliability engineering study also includes

  • Distributed generation that intertwine with fields like Mathematical optimization, Evolutionary algorithm, Probabilistic logic and Distributed computing,
  • Energy which is related to area like Nonlinear system. His research in Electricity intersects with topics in Environmental economics, Econometrics and Market mechanism.

Between 2019 and 2021, his most popular works were:

  • A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids (46 citations)
  • Reliability Evaluation for Integrated Power-Gas Systems With Power-to-Gas and Gas Storages (30 citations)
  • A Practical Solution for Non-Intrusive Type II Load Monitoring Based on Deep Learning and Post-Processing (29 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His primary scientific interests are in Renewable energy, Control theory, Electric power system, Energy and Reliability engineering. His Renewable energy research integrates issues from Electricity generation, Electricity, Energy storage and Sensitivity. In his research on the topic of Electricity, Economic dispatch, Location model and Moment is strongly related with Mathematical optimization.

His Control theory research incorporates elements of Thermal, Stability and Transmission system. He has researched Electric power system in several fields, including Load shifting, Duration, Rate of return, Probabilistic logic and Reliability. His Reliability engineering study also includes fields such as

  • Load management together with Energy supply and Scheduling,
  • Demand response that connect with fields like Operations research, Building automation, Metering mode and Home automation.

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

Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine

Can Wan;Zhao Xu;Pierre Pinson;Zhao Yang Dong.
IEEE Transactions on Power Systems (2014)

509 Citations

The 2015 Ukraine Blackout: Implications for False Data Injection Attacks

Gaoqi Liang;Steven R. Weller;Junhua Zhao;Fengji Luo.
IEEE Transactions on Power Systems (2017)

455 Citations

A Review of False Data Injection Attacks Against Modern Power Systems

Gaoqi Liang;Junhua Zhao;Fengji Luo;Steven R. Weller.
IEEE Transactions on Smart Grid (2017)

439 Citations

Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

Weicong Kong;Zhao Yang Dong;Youwei Jia;David J. Hill.
IEEE Transactions on Smart Grid (2019)

401 Citations

Advanced Control Strategy of DFIG Wind Turbines for Power System Fault Ride Through

Lihui Yang;Zhao Xu;J. Ostergaard;Zhao Yang Dong.
IEEE Transactions on Power Systems (2012)

368 Citations

Power Utility Nontechnical Loss Analysis With Extreme Learning Machine Method

A.H. Nizar;Z.Y. Dong;Y. Wang.
IEEE Transactions on Power Systems (2008)

366 Citations

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

Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

Weicong Kong;Zhao Yang Dong;David J. Hill;Fengji Luo.
IEEE Transactions on Power Systems (2018)

320 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

Coordinated Control of Grid-Connected Photovoltaic Reactive Power and Battery Energy Storage Systems to Improve the Voltage Profile of a Residential Distribution Feeder

M. N. Kabir;Y. Mishra;G. Ledwich;Z. Y. Dong.
IEEE Transactions on Industrial Informatics (2014)

307 Citations

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Contact us

Best Scientists Citing Zhao Yang Dong

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UNSW Sydney

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Nanyang Technological University

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Zhejiang University

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Zhao Xu

Hong Kong Polytechnic University

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Mohammad Shahidehpour

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Illinois Institute of Technology

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Zhe Chen

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Aalborg University

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Jovica V. Milanovic

Jovica V. Milanovic

University of Manchester

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Chongqing Kang

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Tsinghua University

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Hongbin Sun

Hongbin Sun

Tsinghua University

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Nadeem Javaid

COMSATS University Islamabad

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Behnam Mohammadi-Ivatloo

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