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.
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