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
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
Time
(Friday) 9:00 am - 1:30 pm
Location
Zoom
Organizer
Duncan Callaway, Alejandro Domínguez-Garcí, and Marija Ilic