World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
93
Citations
31533
World Ranking
263
National Ranking
13

Overview

Yan Xu is affiliated with Nanyang Technological University in Singapore and specializes in engineering with a focus on electrical and electronic engineering, control and systems engineering, automotive engineering, artificial intelligence, and safety, risk, reliability, and quality.

Their recent research publishes extensively in several key venues, contributing to topics such as microgrid control and optimization, smart grid energy management, optimal power flow distribution, advanced battery technologies research, power system optimization and stability, power system reliability and maintenance, and electric vehicles and infrastructure.

Notable recent papers include:

  • A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management (2020), IEEE Transactions on Smart Grid
  • A Multi-Agent Deep Reinforcement Learning Method for Cooperative Load Frequency Control of a Multi-Area Power System (2020), IEEE Transactions on Power Systems
  • State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method (2020), IEEE Transactions on Vehicular Technology
  • Distributed Resilient Control for Energy Storage Systems in Cyber-Physical Microgrids (2020), IEEE Transactions on Industrial Informatics
  • Hierarchically-Coordinated Voltage/VAR Control of Distribution Networks Using PV Inverters (2020), IEEE Transactions on Smart Grid

Yan Xu frequently collaborates with several co-authors, including Yu Wang, Chao Ren, Zhao Yang Dong, Cuo Zhang, and Zhengmao Li.

The scientist's most common publication venues are:

  • IEEE Transactions on Power Systems
  • IEEE Transactions on Smart Grid
  • International Journal of Electrical Power & Energy Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Industrial Informatics

Yan Xu has also contributed to book publications, such as the work published by the Institution of Engineering and Technology titled "Coordination of Distributed Energy Resources in Microgrids: Optimisation, control, and hardware-in-the-loop validation" (2021).

Best Publications

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

    Weicong Kong;Zhao Yang Dong;Youwei Jia;David J. Hill

  • On an output feedback finite-time stabilisation problem

    Y. Hong;J. Huang;Y. Xu

  • Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

    Weicong Kong;Zhao Yang Dong;David J. Hill;Fengji Luo

  • Electric Vehicle Battery Charging/Swap Stations in Distribution Systems: Comparison Study and Optimal Planning

    Yu Zheng;Zhao Yang Dong;Yan Xu;Ke Meng

  • Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization

    Guodong Liu;Yan Xu;Kevin Tomsovic

  • A Two-Layer Energy Management System for Microgrids With Hybrid Energy Storage Considering Degradation Costs

    Chengquan Ju;Peng Wang;Lalit Goel;Yan Xu

  • A Multi-Objective Collaborative Planning Strategy for Integrated Power Distribution and Electric Vehicle Charging Systems

    Weifeng Yao;Junhua Zhao;Fushuan Wen;Zhaoyang Dong

  • A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management

    Xu Xu;Youwei Jia;Yan Xu;Zhao Xu

  • Data-Driven Load Frequency Control for Stochastic Power Systems: A Deep Reinforcement Learning Method With Continuous Action Search

    Ziming Yan;Yan Xu

  • Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping

    Xia Chen;Zhao Yang Dong;Ke Meng;Yan Xu

  • Optimal coordinated energy dispatch of a multi-energy microgrid in grid-connected and islanded modes

    Zhengmao Li;Yan Xu

  • State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method

    Bin Gou;Yan Xu;Xue Feng

  • A Multi-Agent Deep Reinforcement Learning Method for Cooperative Load Frequency Control of a Multi-Area Power System

    Ziming Yan;Yan Xu

  • Multi-Timescale Coordinated Voltage/Var Control of High Renewable-Penetrated Distribution Systems

    Yan Xu;Zhao Yang Dong;Rui Zhang;David J. Hill

  • Adaptive voltage control with distributed energy resources: Algorithm, theoretical analysis, simulation, and field test verification

    Huijuan Li;Fangxing Li;Yan Xu;D. Tom Rizy

  • Toward Future Green Maritime Transportation: An Overview of Seaport Microgrids and All-Electric Ships

    Sidun Fang;Yu Wang;Bin Gou;Yan Xu

  • Robust Operation of Microgrids via Two-Stage Coordinated Energy Storage and Direct Load Control

    Cuo Zhang;Yan Xu;Zhao Yang Dong;Jin Ma

  • A Reliable Intelligent System for Real-Time Dynamic Security Assessment of Power Systems

    Yan Xu;Zhao Yang Dong;Jun Hua Zhao;Pei Zhang

  • Electric Vehicle Route Optimization Considering Time-of-Use Electricity Price by Learnable Partheno-Genetic Algorithm

    Hongming Yang;Songping Yang;Yan Xu;Erbao Cao

  • Robust Coordination of Distributed Generation and Price-Based Demand Response in Microgrids

    Cuo Zhang;Yan Xu;Zhao Yang Dong;Kit Po Wong

  • Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine

    Rui Zhang;Zhao Yang Dong;Yan Xu;Ke Meng

Frequent Co-Authors

Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Kit Po Wong
Kit Po Wong University of Western Australia
Ke Meng
Ke Meng University of New South Wales
Junhua Zhao
Junhua Zhao Chinese University of Hong Kong, Shenzhen
Rui Zhang
Rui Zhang National University of Singapore
Yi Tang
Yi Tang Nanyang Technological University
Zhao Xu
Zhao Xu Hong Kong Polytechnic University
Aijun Du
Aijun Du Queensland University of Technology
Qiuwei Wu
Qiuwei Wu Technical University of Denmark
Fushuan Wen
Fushuan Wen Zhejiang University

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