World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
10924
World Ranking
7827
National Ranking
3386

Overview

Na Li is affiliated with Harvard University in the United States and has an extensive publication record in engineering and computer science, with a focus on advanced control systems and energy management. Their research spans several main fields and subfields, emphasizing the integration of artificial intelligence methods with electrical and electronic engineering applications.

The primary fields of study for Na Li include:

  • Engineering
  • Computer Science

The subfields where Na Li has contributed significantly are:

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Management Science and Operations Research

Na Li's research topics reveal a concentration on energy systems and control, particularly in smart grid management and optimization techniques. Their main topics of work include:

  • Smart Grid Energy Management
  • Advanced Bandit Algorithms Research
  • Advanced Control Systems Optimization
  • Reinforcement Learning in Robotics
  • Optimal Power Flow Distribution
  • Control Systems and Identification
  • Microgrid Control and Optimization

Publications by Na Li cover influential work across multiple high-impact venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Physics Conference Series
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Smart Grid
  • Automatica

Selected recent papers by Na Li exemplify their research interests:

  • "Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges," 2022, IEEE Transactions on Smart Grid
  • "Flexible brain-computer interfaces," 2023, Nature Electronics
  • "Pythagorean fuzzy interactive Hamacher power aggregation operators for assessment of express service quality with entropy weight," 2020, Soft Computing
  • "Multi-objective and two-stage optimization study of integrated energy systems considering P2G and integrated demand responses," 2023, Energy
  • "Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation," 2021, IEEE Transactions on Smart Grid

Na Li frequently collaborates with several coauthors, including:

  • Runyu Zhang
  • Zhaolin Ren
  • Yujie Tang
  • Yingying Li
  • Xin Chen

Best Publications

  • Optimal demand response based on utility maximization in power networks

    Na Li;Lijun Chen;Steven H. Low

  • Harnessing Smoothness to Accelerate Distributed Optimization

    Guannan Qu;Na Li

  • Exact Convex Relaxation of Optimal Power Flow in Radial Networks

    Lingwen Gan;Na Li;Ufuk Topcu;Steven H. Low

  • Design and Stability of Load-Side Primary Frequency Control in Power Systems

    Changhong Zhao;Ufuk Topcu;Na Li;Steven Low

  • Designing Games for Distributed Optimization

    Na Li;Jason R. Marden

  • Connecting Automatic Generation Control and Economic Dispatch From an Optimization View

    Na Li;Changhong Zhao;Lijun Chen

  • Real-Time Energy Management in Microgrids

    Wenbo Shi;Na Li;Chi-Cheng Chu;Rajit Gadh

  • Two Market Models for Demand Response in Power Networks

    Lijun Chen;Na Li;Steven H. Low;John C. Doyle

  • Connecting automatic generation control and economic dispatch from an optimization view

    Na Li;Lijun Chen;Changhong Zhao;Steven H. Low

  • Accelerated Distributed Nesterov Gradient Descent

    Guannan Qu;Na Li

  • Demand Response Using Linear Supply Function Bidding

    Na Li;Lijun Chen;Munther A. Dahleh

  • Solar generation prediction using the ARMA model in a laboratory-level micro-grid

    Rui Huang;Tiana Huang;Rajit Gadh;Na Li

  • Optimal Residential Demand Response in Distribution Networks

    Wenbo Shi;Na Li;Xiaorong Xie;Chi-Cheng Peter Chu

  • Aggregate Power Flexibility in Unbalanced Distribution Systems

    Xin Chen;Emiliano Dall'Anese;Changhong Zhao;Na Li

  • Exact convex relaxation of OPF for radial networks using branch flow model

    Na Li;Lijun Chen;Steven H. Low

  • Optimal Scheduling of Battery Charging Station Serving Electric Vehicles Based on Battery Swapping

    Xiaoqi Tan;Guannan Qu;Bo Sun;Na Li

  • On the Exponential Stability of Primal-Dual Gradient Dynamics

    Guannan Qu;Na Li

  • Optimal demand response: Problem formulation and deterministic case

    Lijun Chen;Na Li;Libin Jiang;Steven H. Low

  • Real-time decentralized voltage control in distribution networks

    Na Li;Guannan Qu;Munther Dahleh

  • Optimal Power Flow of Radial Networks and Its Variations: A Sequential Convex Optimization Approach

    Wei Wei;Jianhui Wang;Na Li;Shengwei Mei

  • Passivity-Based Distributed Optimization With Communication Delays Using PI Consensus Algorithm

    Takeshi Hatanaka;Nikhil Chopra;Takayuki Ishizaki;Na Li

Frequent Co-Authors

Steven H. Low
Steven H. Low California Institute of Technology
Carlo Fischione
Carlo Fischione Royal Institute of Technology
Ufuk Topcu
Ufuk Topcu The University of Texas at Austin
Vahid Tarokh
Vahid Tarokh Duke University
Antonis Papachristodoulou
Antonis Papachristodoulou University of Oxford
Adam Wierman
Adam Wierman California Institute of Technology
Jason R. Marden
Jason R. Marden University of California, Santa Barbara
Rajit Gadh
Rajit Gadh University of California, Los Angeles
Yue M. Lu
Yue M. Lu Beijing University of Posts and Telecommunications

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