2/20 Plenary Panel Session: Customer Analytics and Behind the Meter Technologies, Track 1: Customer Analytics and Behind the Meter Technologies

This product contains the following Feb. 20th panel sessions from Track 1 - Customer Analytics and Behind the Meter Technologies

Innovative methods in coordinating demand-side resources: From papers to practice
By: Adil Khurram, University of Vermont

Leveraging Differentiable Programming for Adaptive Resilient Systems
By: D. Vrabie, PNNL

The role of communications on properly managing the impacts of DER on system operations, protection, and planning
By: B. Enayati, National Grid

Approximating Trajectory Constraints with Machine Learning � Microgrid Islanding with Frequency Constraints
By: Y. Zhang, ANL

Learning Smart Meter Data for Enhancing Distribution Grid Observability
By: Z. Wang, Iowa State University

Machine Learning Efforts at the National Science Foundation
By: A. Pahwa, EPCN

Predictive Analytics for Behind-the-Meter Resources
By: R. Yang, National Renewable Energy Laboratory

Economic, Reliability, and Resilience Considerations for TE Systems
By: F. Rahimi, OATI

Modeling and Prediction of Weather-induced Outages Using Neural Networks
By: R. Yao, ANL