What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Electrical engineering
Control theory, Electric power system, Robustness, Mathematical optimization and Control engineering are his primary areas of study.
His Control theory research is multidisciplinary, incorporating perspectives in Frequency deviation, AC power, Voltage, Photovoltaic system and Renewable energy.
His Electric power system research incorporates elements of Artificial neural network, Extreme learning machine, Data-driven and Smart grid.
Yan Xu combines subjects such as Robust optimization, Load management, Microgrid and Wind power with his study of Robustness.
His work is dedicated to discovering how Mathematical optimization, Electric vehicle are connected with Battery and Optimal design and other disciplines.
In his study, Phasor and Optimization problem is strongly linked to Fault, which falls under the umbrella field of Control engineering.
His most cited work include:
- Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network (495 citations)
- Electric Vehicle Battery Charging/Swap Stations in Distribution Systems: Comparison Study and Optimal Planning (264 citations)
- Short-Term Residential Load Forecasting Based on Resident Behaviour Learning (217 citations)
What are the main themes of his work throughout his whole career to date?
Yan Xu mainly investigates Electric power system, Control theory, Mathematical optimization, Microgrid and Wind power.
His studies deal with areas such as Stability, Reliability engineering, Control engineering, Extreme learning machine and Automatic frequency control as well as Electric power system.
His research on Control theory focuses in particular on Robustness.
His work deals with themes such as Probabilistic logic, Power system simulation, Electricity and Computation, which intersect with Mathematical optimization.
As a member of one scientific family, Yan Xu mostly works in the field of Microgrid, focusing on Energy storage and, on occasion, Renewable energy.
His research in AC power intersects with topics in Voltage droop and Photovoltaic system.
He most often published in these fields:
- Electric power system (42.42%)
- Control theory (33.64%)
- Mathematical optimization (20.30%)
What were the highlights of his more recent work (between 2019-2021)?
- Electric power system (42.42%)
- Control theory (33.64%)
- Microgrid (16.67%)
In recent papers he was focusing on the following fields of study:
His main research concerns Electric power system, Control theory, Microgrid, Mathematical optimization and Reliability engineering.
The concepts of his Electric power system study are interwoven with issues in Wind power, Stability, Demand response, Renewable energy and Reinforcement learning.
The study incorporates disciplines such as Robust optimization, Voltage droop and Voltage regulation, Voltage in addition to Control theory.
His Microgrid research is multidisciplinary, relying on both Linear programming, Scheduling, Automotive engineering and Energy storage.
The various areas that Yan Xu examines in his Mathematical optimization study include Power system simulation and Compact space.
His work carried out in the field of Reliability engineering brings together such families of science as Battery and Building automation.
Between 2019 and 2021, his most popular works were:
- A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management (27 citations)
- Inverter-Based Voltage Control of Distribution Networks: A Three-Level Coordinated Method and Power Hardware-in-the-Loop Validation (24 citations)
- Robustly Coordinated Operation of a Multi-Energy Micro-Grid in Grid-Connected and Islanded Modes Under Uncertainties (23 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Electrical engineering
His primary areas of investigation include Control theory, Photovoltaic system, Electric power system, Microgrid and Energy storage.
His Control theory research includes themes of Robust optimization and Voltage regulation, Voltage.
His Electric power system research is multidisciplinary, incorporating elements of Electronic stability control, Mathematical optimization, Multivariate random variable and Reinforcement learning.
The Mathematical optimization study combines topics in areas such as Probabilistic logic and Interval.
Yan Xu has researched Microgrid in several fields, including Linear programming, DC-BUS, Inductor and Flexibility.
His study in Energy storage is interdisciplinary in nature, drawing from both Distributed computing, Reliability engineering, Lyapunov function, State and Cyber-physical system.
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