june, 2021

11jun9:00 am1:30 pmMachine Learning for a Resilient, Secure, Carbon-Free Electricity Supply

Event Details

On three consecutive Fridays in June, this workshop will explore three major domains in power systems — dynamics, control, and protection; cybersecurity and privacy; and markets and optimization — and their relationship to capabilities emerging from machine learning and artificial intelligence research to address the aforementioned challenges. Each day of the workshop will focus on one of the three domains by bringing together four experts to give a talk and then take part in a panel discussion that involves answering questions from the audience.

Day 2 (Friday, June 11): Cybersecurity and Privacy

9:00 am – 9:45 am: Policy Optimization for Robust and Secure Reinforcement Learning, Tamer Başar (University of Illinois at Urbana-Champaign)

9:45 am – 10:30 am: Differential Privacy in Power Systems, Pascal Van Hentenryck (Georgia Institute of Technology)

10:30 am – 10:45 am: Break

10:45 am –11:30 am: Grid Graph Signal Processing: Theory and Practical Applications, Anna Scaglione (Arizona State University)

11:30 am – 12:15 pm: Data Science and Financial Engineering in Day-Ahead Markets, Daniel Bienstock (Columbia University)

12:15 pm – 12:30 pm: Break

12:30 pm – 1:30 pm: Panel Discussion

Zoom Link: https://berkeley.zoom.us/j/99077744047#success


(Friday) 9:00 am - 1:30 pm




Duncan Callaway, Alejandro Domínguez-Garcí, and Marija Ilic