Baligen Talihati
I'm a PhD student in the Department of Electrical Engineering at the University of Tennessee, Knoxville
advised by Professors Hao Huang.
My previous research focused on applying AI and machine learning to model community energy systems and promote the adoption of shared energy storage.
In the future, I aim to develop AI-based models that enhance the resilience of smart grids under cyberattacks, with a focus on ensuring uninterrupted
power supply to critical users. My work lies at the intersection of computer vision, deep learning, and network data science, tackling key challenges
in the evolution of intelligent power systems.
Recent News
Highlighted Research
Proposing a dynamic carbon network model for IES
Proposed the concept of energy–carbon flow mapping by integrating carbon emission factors and utilizing network analysis, demonstrated through a case study in an industrial park in Nanjing. Paper
Managing community energy systems using multi-agent reinforcement learning
Utilized MARL to manage community-shared energy storage charging/discharging, intelligent EV charging, and dynamic pricing, with the goal of alleviating stress on the community distribution network. Paper
Establishing a consistency evaluation framework for different paradigms of shared energy storage
A consistent evaluation framework is proposed for diversified battery energy storage use scenarios. The operational cost of a community with various controllable loads is optimized to find the optimal storage solution. Paper