Junjie Yin

AI for Power Systems · PhD Candidate at UTK / CURENT · 2026 Fall Research Intern @ EPRI

Hi! I’m Junjie Yin (尹俊杰) (how to say my name), a PhD candidate in Electrical Engineering at the University of Tennessee, Knoxville (UTK), where I have studied since August 2023 under Prof. Fangxing “Fran” Li.

My work sits at the intersection of artificial intelligence and electric power systems — developing data-driven and large-language-model methods for grid resilience, stability, and operations, grounded in hands-on power-system engineering.

I am open to 2026–2027 opportunities in AI-for-power-systems research and power-system engineering across ISO, utility, consulting, hyperscalers, national labs, and academic faculty. If my background fits your team or project, please feel free to reach out — you can also browse my publications, projects, and CV.

Research Interests

  • AI & machine learning for power — AI for power systems, large language models, data-driven control
  • Resilience & extreme events — grid resilience, extreme-event modeling, smart grid
  • Stability & inverter-based resources — power-system stability, grid-connected converters
  • Markets & energy-system optimization — electricity markets, integrated energy systems, Lyapunov optimization

News

Aug 31, 2026 [Intern] I started my 2026 Fall Internship at Electric Power Research Institute (EPRI) in Knoxville, TN, working on AI/ML for Power System Analysis, Power Flow, and State Estimation. EPRI
Jun 08, 2026 [Intern] I started my Research Internship at Microsoft in Redmond, WA, working on AI/ML for electricity-infrastructure planning. Microsoft
Jun 05, 2026 [Certification] I passed the NCEES Fundamentals of Engineering (FE), Electrical and Computer exam. NCEES
May 30, 2026 [Honor] I was inducted into IEEE-Eta Kappa Nu (IEEE-HKN) (Beta Phi Chapter). IEEE-Eta Kappa Nu (IEEE-HKN)
May 26, 2026 [Honor] I was elected an Associate Member of Sigma Xi. Sigma Xi
See all news →

Selected Publications

  1. Nature
    Grid Resilience, Extreme Weather Events, and Clean Energy Development: Understanding Their Interactions in Modern Power Systems
    X. Feng*, Junjie Yin*, C. Li, and 10 more authors
    Nature Reviews Clean Technology. Invited paper. *Co-first authors with the same contribution. , 2026
  2. IEEE TIA
    PVSizer: An Open-Source Python Framework for PV and BESS Sizing and Impact Analysis in Distribution Networks
    Y. Yang, S. N. Okhuegbe, J. Zhang, and 8 more authors
    IEEE Transactions on Industry Applications, 2026
  3. IEEE Elec. Mag.
    Pathway Toward an Open Source Ecosystem in Power Systems: A Blueprint for Collaborative Innovation and Software Sustainability
    Ahmad Ali, Junjie Yin, Fangxing Li, and 1 more author
    IEEE Electrification Magazine, Jun 2025
  4. IEEE TPD
    A Data-Driven Adaptive Control Approach for Enhancing the Dynamic Response of VSGs in Varying Grid Conditions
    S. Fahad, Buxin She, Junjie Yin, and 3 more authors
    IEEE Transactions on Power Delivery, 2025

See all publications →

Skills & Tools

AI & Programming Python (PyTorch, TensorFlow) | ML | RL | CNN | GNN | LLM & AI Agents | MATLAB | C
Power-System Modeling & Simulation PSCAD | PSS/E | OpenDSS | Simulink | PLECS | Pandapower | PYPOWER | MATPOWER
Optimization Solvers Gurobi | CPLEX | YALMIP | CVX (MILP, OPF, SCUC)
Testbed Platforms CURENT Large-Scale Testbed (LTB) | RT-Box

Education

University of Tennessee

University of Tennessee, Knoxville (UTK)

Knoxville, TN    Aug. 2023 - May. 2027 (Expected)
PhD in Electrical Engineering
Advisor: Prof. Fangxing "Fran" Li

Southeast University

Southeast University (SEU)

Nanjing    Sep. 2020 - Jun. 2023
MS in Electrical Engineering

North China Electric Power University

North China Electrical Power University (NCEPU)

Beijing    Sep. 2016 - Jun. 2020
BS in Electrical Engineering

Experience

Electric Power Research Institute (EPRI)

Electric Power Research Institute (EPRI)

Knoxville, TN    Aug. 2026 - Present
Research Intern
AI/ML for power-system analysis, power flow, and state estimation

Microsoft

Microsoft

Redmond, WA    Jun. 2026 - Aug. 2026
Research Intern
AI/ML for electricity-infrastructure planning

See all experiences →

Contact

yin@utk.edu (Primary)
yinjunjie98@gmail.com (Alternative, valid permanently)