Panel Session: Artificial Intelligence and Digital Twin Technologies for Smart Grid Applications (slides)
S. Ziegler, C. He, M. Mohanpurkar, N. Sankar, M. Braby
-
PES
IEEE Members: $10.00
Non-members: $20.00Pages/Slides: 95
The use of AI and Digital Twin techniques is growing in popularity across the electric utilities sector for asset management, demand response, energy storage, renewable resources, E-Mobility, and many other areas. The Gartner report said, “Four years ago, AI implementation was rare, only 10% of survey respondents reported that their enterprises had deployed AI or would do so shortly. For 2019, that number has leapt to 37% — a 270% increase in four years.” This panel will bring together industry experts from different backgrounds (R&D, Manufacturers, Utilities Academia, and Solution Providers) to discuss various aspects of Big Data, Digital Twins, Machine Learning, and Artificial Intelligence technologies for developing Forecasting, E-Mobility, Energy Management, and Asset Management Solutions. Topics include:
o Machine Learning and Deep Learning technologies for Real-Time Asset Condition Monitoring AND Predictive Maintenance.
o Machine Learning technologies for Forecasting Application (Energy and Weather Forecasting)
o Virtual Power Plants (VPP) using AI
o E-Mobility and EV Integration
o Machine Learning and Deep Learning technologies for Real-Time Asset Condition Monitoring AND Predictive Maintenance.
o Machine Learning technologies for Forecasting Application (Energy and Weather Forecasting)
o Virtual Power Plants (VPP) using AI
o E-Mobility and EV Integration
Chairs:
Shishir Shekhar