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 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.
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
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
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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)
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)
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)
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)
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)
Power Utility Nontechnical Loss Analysis With Extreme Learning Machine Method
A.H. Nizar;Z.Y. Dong;Y. Wang.
IEEE Transactions on Power Systems (2008)
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)
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)
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)
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)
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