june, 2021

04jun9:00 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 1 (Friday, June 4): Infrastructure Protection and Control

9:00 am – 9:45 am: Ram Rajagopal (Stanford University)

9:45 am – 10:30 am: Safe and Efficient Reinforcement Learning for Power System Control, Baosen Zhang (University of Washington)

10:30 am – 10:45 am: Break

10:45 am – 11:30 am: Removing Barriers for Machine Learning Applications in Power System, Spyros Chatzivasileiadis (Technical University of Denmark)

11:30 am – 12:15 pm: Incorporating Constraints into Deep Learning, with Application to Grid Optimization, Zico Kolter (Carnegie Mellon 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