Presented by: Fangxing Fran Li, The University of Tennessee

This webinar:
This two-part webinar provides a hands-on introduction to artificial intelligence for power systems, moving from core concepts and live demonstrations to real-world case studies in analysis and control. Part I provides an overview of artificial intelligence (AI), followed by two hands-on demonstrations. Specifically, a deep neural network is used to illustrate function approximation through a sinusoidal example, and then a convolutional neural network is applied to a representative power flow study. Both examples are interactively demonstrated using the Google Colab environment. Part I concludes with a brief discussion of AI applications in power systems. Part II presents three case studies that apply diverse AI techniques to power system analysis and control, including contingency screening under large-scale uncertainty, physics-informed reinforcement learning for inverter PQ control, and deep-learning-assisted linearization for virtual inertia scheduling. Part II webinar concludes with a high-level discussion of key challenges and emerging opportunities for AI in power systems.

Part I:
Overview of artificial intelligence and machine learning
Hands-on illustrative examples on AI for Power Systems
Vision of AI for power systems

Presenter bio:
Dr. Fangxing “Fran” Li received his Ph.D. degree from Virginia Tech, Blacksburg, VA, USA, in 2001. Currently, he is the John W. Fisher Professor in electrical engineering and the Director of CURENT at the University of Tennessee, Knoxville, TN, USA. From 2020 to 2021, he served as the Chair of IEEE PES Power System Operation, Planning and Economics (PSOPE) Committee. He also served as the Editor-In-Chief of IEEE Open Access Journal of Power and Energy (OAJPE) from 2020 to 2025. He is currently serving as the Chair of IEEE AI for Power Systems Coordinating Committee since 2026. Prof. Li has received a R&D 100 Award in 2020, IEEE PES Technical Committee Prize Paper award twice, six Best Paper awards at international journals, and 7 Best Papers or Posters at international conferences.