Events

Coming Soon

Symposium and Short Course
On the Harvard Campus
Date: May 20-21, 2025

Power and AI Initiative Symposium
Tuesday, May 20, 8:00 am - 5:30 pm

Short Course -- Power Systems and Artificial Intelligence: An Introduction
Wednesday, May 21, 8:30 am - 5:00 pm

Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS)

PAI Symposium Schedule

Tuesday, May 20, 2025
(Schedule Subject to Change)

8:00 AM - 9:00 AM Breakfast, Registration and Check-in

9:00 AM - 9:15 AM Opening Remarks

Speaker: Leadership from Harvard SEAS and the Salata Institute

9:15 AM - 10:00 AM PAI Introduction

Speaker: Le Xie and Minlan Yu

10:00 AM - 11:00 AM Panel 1: Grid (Technical) Reformation for AI Data Centers

Moderator: William Hogan (Harvard Kennedy School), Panelists: Daniel Brooks (EPRI), Keith Heyde (OpenAI), Carole-Jean Wu (Meta), Tongxin Zheng (ISO New England)

11:00 AM - 11:15 AM Break

11:15 AM - 12:15 PM Panel 2: Policy/Business Issues on AI and Power Grids

Moderator: Henry Lee (Harvard Kennedy School), Panelists: Erik Belz (Engine No.1), Keith Benes (DOE), Judy Chang (FERC), Howard Gugel (NERC)

12:15 PM - 1:30 PM Working Lunch

1:30 PM - 2:30 PM Panel 3: Full Stack Redesign of AI Infrastructure for Energy Efficiency

Moderator: Minlan Yu (Harvard SEAS), Panelists: Jeffrey Burns (IBM), Esha Choukse (Microsoft), Christos Kozyrakis (Nvidia), Houle Gan (Google)

2:30 PM - 3:30 PM Panel 4: AI to Modernize the Grid

Moderator: Francesca Dominici (Harvard T.H. Chan School of Public Health), Panelists: Eversource Energy (Asim Fazlagic), Prashant Kansal (ERCOT), Xing Wang (AWS), Calvin Zhang (Eaton)

3:30 PM - 3:45 PM Break

3:45 PM - 4:15 PM Academic Pitch (lightning talks)

Conleigh Byers (Harvard), Noman Bashir (MIT), Jae-Won Chung (University of Michigan), Yize Chen (University of Alberta)

4:15 PM - 4:30 PM Concluding Remarks

4:30 PM - 5:30 PM Reception and Poster Presentation

In-Person Short Course

Power Systems and Artificial Intelligence: An Introduction

Wednesday, May 21st, 2025

Key Course Information

Course fee is $1850
Course topics include

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Leveraging multi-scale data from synchrophasors, smart meters, weather, and electricity markets
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Exploring the operational carbon footprint of AI computing
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Optimizing data center networks for energy efficiency
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Integrating environmentally responsible AI solutions

Join a community of professionals in the electric grid and AI industries who seek to understand the latest advancements in AI, machine learning, and sustainable computing, and how these innovations will shape their work
Earn a certificate as you build connections with peers at the intersection of power systems and AI

Short Course Schedule

8:30 AM - 9:30 AM Arrival and Continental Breakfast
9:30 AM - 10:30 AM Session 1: Grid Operation Basics
10:30 AM - 10:45 AM Break
10:45 AM - 12:00 PM Session 2: Introduction to AI and Its Recent Advances in Power Systems
12:00 PM - 1:00 PM Lunch
1:00 PM - 2:30 PM Session 3: Datacenter and Computing Basics
2:30 PM - 2:45 PM Break
2:45 PM - 4:00 PM Session 4: Energy-efficient Computing and Sustainable AI
4:00 PM - 4:30 PM Session 5: Green AI Report and Use Cases
4:30 PM - 5:00 PM Closing Ceremonies

Teaching Team

Le Xie, Gordon McKay Professor of Electrical Engineering, SEAS
Minlan Yu, Gordon McKay Professor of Computer Science, SEAS