Enliten Lab Home
The Enliten (Electric Network Laboratory for Intelligent Transactive ENergy) Lab is a research group led by Professor Fangxing “Fran” Li at the University of Tennessee. Our goal is to enhance the secure and economic operation of electric power systems using cutting-edge machine learning, optimization, and control techniques.
Our lab develops mathematical optimization models for generation scheduling and flexible load management. We apply state-of-the-art machine learning algorithms for power flow calculation, contingency screening, voltage stability analysis, and cyber security vulnerability mitigation. We also develop large-scale power system testbeds for research verification and demonstration (see Projects).
We are with the Department of Electrical Engineering and Computer Science (EECS), UTK, which is located within driving distances to Nashville, Atlanta, and the Great Smoky Mountains. We are part of CURENT, an Education Research Center funded by the National Science Foundation (NSF) and Department of Energy (DOE).
We have openings for new PhD students, Postdocs, and Master students! (details)
We are grateful for funding from NSF, DOE, ORNL, EPRI, ISO-NE, GEIRI-NA, ESTCP, NREL, AR, RTX, RevV and multiple funding sources. See the list of funded projects here.
News
12 Dec 2025Four group members were hooded by Dr. Li at the Spring 2025 commencement ceremony, followed by a joyful group celebration.
Press releases
Haoyuan Sun defended his dissertation on Nov 3. His topic is “Natural Oscillation Cancellation and Sinusoidal Waveform Processing”. Congratulations to Dr. Haoyuan Sun!
Mishal Alonize defended his dissertation on Jun. 27. His topic is “Assessment of Wind Power Integration into the Synthetic Electric Grid of Saudi Arabia”. Congratulations to Dr. Mishal Alonize!
Jingzi Liu defended her dissertation on July 11. Her topic is “Data-driven Solutions for Power Systems During Energy Transition”. Congratulations to Dr. Jingzi Liu!
Press releases
Jinning Wang defended his dissertation on Apr. 03. His topic is “Large-Scale Interoperable Modeling and Simulation of Electric Power Systems”. Congratulations to Dr. Jinning Wang!
LTB AMS v1, an open-source power system scheduling modeling framework was realesed by Jinning.
Press releases
Dr. Fran Li, Dr. Jin Zhao, and Dr. Qiwei Zhang co-authered a Nature Energy paper on "weather vulnerability of power systems" !
Press releases
Dr. Fran Li and Dr. Qingxin received the Best Paper award at International Journal of Electric Power and Energy. Congratulations!
Press releases
Helia Zandi defended her dissertation on April 5th. Her topic is “Scalable Cloud-Based Load Management System, Learning Models, and Optimization Framework for Connected Communities.” Congratulations to Dr. Zandi!