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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
11583
World Ranking
2392
National Ranking
927

Overview

Le Xie is affiliated with Texas A&M University in the United States and specializes in engineering, with a strong focus on electrical and electronic engineering, control and systems engineering, artificial intelligence, automotive engineering, and energy engineering and power technology.

Their research covers several key topics, including:

  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Electric Power System Optimization
  • Smart Grid Security and Resilience
  • Integrated Energy Systems Optimization

Le Xie's recent scholarly contributions include papers such as:

  • "Implications of COVID-19 for the electricity industry: A comprehensive review" (2020), published in CSEE Journal of Power and Energy Systems
  • "A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the US Electricity Sector" (2020), published in Joule
  • "Resilience of renewable power systems under climate risks" (2024), published in Nature Reviews Electrical Engineering
  • "A Review of Current Research Trends in Power-Electronic Innovations in Cyber-Physical Systems" (2021), published in IEEE Journal of Emerging and Selected Topics in Power Electronics
  • "Machine learning and deep learning modeling and simulation for predicting PM2.5 concentrations" (2022), published in Chemosphere

Their frequent collaborators include researchers such as Chanan Singh, Xiangtian Zheng, Zongxiang Lu, Ying Qiao, and Tong Huang.

In terms of publication venues, Le Xie has a significant number of works published in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Power Systems
  • IEEE Open Access Journal of Power and Energy
  • IEEE Transactions on Smart Grid

Le Xie has also contributed to book literature, including a publication with Springer Nature titled Data Science and Applications for Modern Power Systems (2023).

Best Publications

  • Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment

    Lei Rao;Xue Liu;Le Xie;Wenyu Liu

  • Integrity Data Attacks in Power Market Operations

    Le Xie;Yilin Mo;B. Sinopoli

  • Wind Integration in Power Systems: Operational Challenges and Possible Solutions

    Le Xie;Pedro M S Carvalho;Luis A F M Ferreira;Juhua Liu

  • False Data Injection Attacks in Electricity Markets

    Le Xie;Yilin Mo;Bruno Sinopoli

  • Coupon Incentive-Based Demand Response: Theory and Case Study

    Haiwang Zhong;Le Xie;Qing Xia

  • Modeling of Future Cyber–Physical Energy Systems for Distributed Sensing and Control

    Marija D Ilić;Le Xie;Usman A Khan;José M F Moura

  • Fully Distributed State Estimation for Wide-Area Monitoring Systems

    Le Xie;Dae-Hyun Choi;Soummya Kar;H. V. Poor

  • Short-Term Spatio-Temporal Wind Power Forecast in Robust Look-ahead Power System Dispatch

    Le Xie;Yingzhong Gu;Xinxin Zhu;Marc G. Genton

  • Dimensionality Reduction of Synchrophasor Data for Early Event Detection: Linearized Analysis

    Le Xie;Yang Chen;P. R. Kumar

  • Multitime-Scale Data-Driven Spatio-Temporal Forecast of Photovoltaic Generation

    Chen Yang;Anupam A. Thatte;Le Xie

  • The role of big data in improving power system operation and protection

    Mladen Kezunovic;Le Xie;Santiago Grijalva

  • Model predictive economic/environmental dispatch of power systems with intermittent resources

    Le Xie;Marija D. Ilic

  • Efficient Coordination of Wind Power and Price-Responsive Demand—Part I: Theoretical Foundations

    M. D. Ilic;Le Xie;Jhi-Young Joo

  • Potential Power Quality Benefits of Electric Vehicles

    Milad Falahi;Hung-Ming Chou;Mehrdad Ehsani;Le Xie

  • Risk Measure Based Robust Bidding Strategy for Arbitrage Using a Wind Farm and Energy Storage

    Anupam A. Thatte;Le Xie;Daniel E. Viassolo;Sunita Singh

  • Implications of COVID-19 for the Electricity Industry: A Comprehensive Review

    Haiwang Zhong;Zhenfei Tan;Yiliu He;Le Xie

  • An Online Detection Framework for Cyber Attacks on Automatic Generation Control

    Tong Huang;Bharadwaj Satchidanandan;P. R. Kumar;Le Xie

  • Modeling future cyber-physical energy systems

    M.D. Ilic;Le Xie;U.A. Khan;J.M.F. Moura

  • Model predictive dispatch in electric energy systems with intermittent resources

    Le Xie;M.D. Ilic

  • Data-driven decision making in power systems with probabilistic guarantees: Theory and applications of chance-constrained optimization

    Xinbo Geng;Le Xie

  • A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector

    Guangchun Ruan;Dongqi Wu;Xiangtian Zheng;S. Sivaranjani

Frequent Co-Authors

P. R. Kumar
P. R. Kumar Texas A&M University
Qing Xia
Qing Xia Tsinghua University
Chongqing Kang
Chongqing Kang Tsinghua University
Soummya Kar
Soummya Kar Carnegie Mellon University
Prasad Enjeti
Prasad Enjeti Texas A&M University
Chanan Singh
Chanan Singh Texas A&M University
Xue Liu
Xue Liu McGill University
Mladen Kezunovic
Mladen Kezunovic Texas A&M University
Bruno Sinopoli
Bruno Sinopoli Washington University in St. Louis

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