5G-Enabled Grid Edge for Immersive AI Applications

Description

5G enables new architectures and frameworks that support a dynamic, near real-time, end-to-end fabric to assist critical infrastructure operation in a continuously evolving environment. Embracing 5G technologies bridges the gap between energy stakeholders and computing/ML resources to enhance grid asset management through cohesive data integration and intelligent analytics. In this panel session, we present a series of successful stories, R&D efforts, pilot projects, and visions from broader industrial members, electric research institutes, and national labs, about the applications of data analytics and machine learning for distributed and decentralized decisions and control, that is, at grid edge. Our ultimate goal of this panel session is to connect cutting-edge data analytics and machine learning theories to real-world problems, and show the pathway for artificial intelligence-based technology landing to address challenges in the process of grid decarbonization.

Track(s)

• 
  Grid Connectivity Stage

Speaker(s)

Moderator

Xiaoyuan Fan

Panelist

Qiuhua Huang

Associate Professor

Colorado School of Mines

Panelist

Yilu Liu

Governor`s Chair/Professor

University of Tennessee/ORNL

Panelist

Mauricio Subieta

Chief Technology Officer

Nokia

Panelist

Luigi Vanfretti

Professor

Rensselaer Polytechnic Institute

Price: