World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
16435
World Ranking
1807
National Ranking
251

Overview

Xiaohong Guan is affiliated with Xi'an Jiaotong University in China and has contributed extensively to the engineering and computer science fields, particularly focusing on electrical and electronic engineering, artificial intelligence, and control and systems engineering.

Their recent publications span several key areas related to smart grid technologies, energy management, and intelligent control systems. Representative works include:

  • A Review of Deep Reinforcement Learning for Smart Building Energy Management (2021, IEEE Internet of Things Journal)
  • Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings (2020, IEEE Transactions on Smart Grid)
  • Optimal planning of distributed hydrogen-based multi-energy systems (2020, Applied Energy)
  • Distributed Observer-Based Event-Triggered Load Frequency Control of Multiarea Power Systems Under Cyber Attacks (2022, IEEE Transactions on Automation Science and Engineering)
  • Wireless Covert Communications Aided by Distributed Cooperative Jamming Over Slow Fading Channels (2021, IEEE Transactions on Wireless Communications)

The primary topics of research explored by Guan include:

  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Optimal Power Flow Distribution
  • Smart Grid Security and Resilience
  • Electric Vehicles and Infrastructure
  • Electric Power System Optimization
  • Advanced Graph Neural Networks

Guan has collaborated frequently with several co-authors over the years. These include Zhanbo Xu, Qiaozhu Zhai, Pinghui Wang, Jiang Wu, and Junzhou Zhao, reflecting a consistent network of research partnerships.

The venues where Guan most often publishes research demonstrate a focus on engineering, automation, and smart grid technologies. These venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Automation Science and Engineering
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Knowledge and Data Engineering
  • SSRN Electronic Journal

In addition to journal papers, Guan has contributed books through Springer Science+Business Media, including titles such as Information and Communications Security (2021) and Music Intelligence (2024).

The combination of topics, co-authorship, and publication venues indicates a research profile centered on the intersection of engineering methodologies and computer science applications, targeting issues in energy systems, intelligent control, and secure communication within smart grids and other distributed infrastructure systems.

Best Publications

  • Energy-Efficient Buildings Facilitated by Microgrid

    Xiaohong Guan;Zhanbo Xu;Qing-Shan Jia

  • A Review of Deep Reinforcement Learning for Smart Building Energy Management

    Liang Yu;Shuqi Qin;Meng Zhang;Chao Shen

  • An optimization-based method for unit commitment

    X. Guan;P.B. Luh;H. Yan;J.A. Amalfi

  • Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings

    Liang Yu;Yi Sun;Zhanbo Xu;Chao Shen

  • An SVM-based machine learning method for accurate internet traffic classification

    Ruixi Yuan;Zhu Li;Xiaohong Guan;Li Xu

  • Coordinated Multi-Microgrids Optimal Control Algorithm for Smart Distribution Management System

    Jiang Wu;Xiaohong Guan

  • Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management

    Zhanbo Xu;Xiaohong Guan;Qing-Shan Jia;Jiang Wu

  • Nonlinear approximation method in Lagrangian relaxation-based algorithms for hydrothermal scheduling

    Xiaohong Guan;P.B. Luh;Lan Zhang

  • Fast Identification of Inactive Security Constraints in SCUC Problems

    Qiaozhu Zhai;Xiaohong Guan;Jinghui Cheng;Hongyu Wu

  • User Authentication Through Mouse Dynamics

    Chao Shen;Zhongmin Cai;Xiaohong Guan;Youtian Du

  • Optimization based methods for unit commitment: Lagrangian relaxation versus general mixed integer programming

    Xiaohong Guan;Qiaozhu Zhai;A. Papalexopoulos

  • Performance Analysis of Multi-Motion Sensor Behavior for Active Smartphone Authentication

    Chao Shen;Yuanxun Li;Yufei Chen;Xiaohong Guan

  • Forecasting power market clearing price and quantity using a neural network method

    Feng Gao;Xiaohong Guan;Xi-Ren Cao;A. Papalexopoulos

  • Optimization-based scheduling of hydrothermal power systems with pumped-storage units

    Xiaohong Guan;P.B. Luh;Houzhong Yen;P. Rogan

  • Revenue adequate bidding strategies in competitive electricity markets

    Chao-An Li;A.J. Svoboda;Xiaohong Guan;H. Singh

  • Integrated Energy Exchange Scheduling for Multimicrogrid System With Electric Vehicles

    Dai Wang;Xiaohong Guan;Jiang Wu;Pan Li

  • Unit commitment with identical units successive subproblem solving method based on Lagrangian relaxation

    Qiaozhu Zhai;Xiaohong Guan;Jian Cui

  • Purchase allocation and demand bidding in electric power markets

    X. Guan;L. Yaan

  • Matching EV Charging Load With Uncertain Wind: A Simulation-Based Policy Improvement Approach

    Qilong Huang;Qing-Shan Jia;Zhifeng Qiu;Xiaohong Guan

  • Scheduling hydrothermal power systems with cascaded and head-dependent reservoirs

    Ernan Xi;Xiaohong Guan;Renhou Li

  • Accurate Classification of the Internet Traffic Based on the SVM Method

    Zhu Li;Ruixi Yuan;Xiaohong Guan

  • Energy efficient buildings facilitated by micro grid

    Xiaohong Guan;Zhanbo Xu;Qingshan Jia

Frequent Co-Authors

Qing-Shan Jia
Qing-Shan Jia Tsinghua University
Don Towsley
Don Towsley University of Massachusetts Amherst
John C. S. Lui
John C. S. Lui Chinese University of Hong Kong
Qinghua Zheng
Qinghua Zheng Xi'an Jiaotong University
Qianchuan Zhao
Qianchuan Zhao Tsinghua University
Xiangliang Zhang
Xiangliang Zhang University of Notre Dame
Peter B. Luh
Peter B. Luh University of Connecticut
Zhenguo Li
Zhenguo Li Huawei Technologies (China)
Lang Tong
Lang Tong Cornell University

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