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 Research).

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 and multiple funding sources. See the list of funded projects here.


6 May 2019

Our paper "Achieving 100x Acceleration for N-1 Contingency Screening with Uncertain Scenarios using Deep Convolutional Neural Network" has been published by the IEEE Transactionsons on Power Systems.
Congratulations to the authors.

Full text on IEEExplore

16 April 2018

Qingxin Shi received the UT Chancellor's Citation Award for Extraordinary Professional Promise. Congratulations to Qingxin Shi. 
List of awardees

21 February 2019

Our paper "Thermostatic Load Control for System Frequency Regulation Considering Daily Demand Profile and Progressive Recovery" has been accepted by the IEEE Transactionsons on Smart Grid.
Congratulations to Qingxin Shi and the coauthors.

Full text on IEEExplore

15 November 2018

Hantao Cui has successfully defended his PhD dissertation "Large-Scale Simulation of Modern Electric Power Systems". Congratulations to Dr. Hantao Cui.

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