2027 IEEE PES Grid Edge Conference & Exposition

Date

April 19, 2027

Format

In-Person

Location

Salt Lake City, UT

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About

The conference focuses on the customer-utility interface, including planning, demand management, distributed energy resources, storage, DERMS, energy efficiency, interconnection, standardization, scalability, AI, data center growth, and next-generation loads. The program includes tutorials, technical tours, welcome and opening remarks with a keynote, breakout sessions, exhibits, stage presentations, startup lightning pitches, a poster session, and a closing session. Super Sessions address generation mix and grid reliability; data center growth and the AI economy; flexible load management; AI for planning, operations, and reliability; and asset management for an affordable grid. The program also includes an invite-only Innovation Challenge and brings together utility engineers, planners, consultants, developers working on large-load interconnections, AI and data-center leaders, DER providers, policymakers, regulators, and researchers in data, cybersecurity, and grid-edge systems. PacifiCorp is the host utility.

Speakers(40)

Richard Fioravanti

MPR Associates

Ray Byrne

Sandia National Labs

Tu Nguyen

Sandia National Labs

Michael Ropp

Sandia National Labs

Waylon Clark

Sandia National Labs

David Bakken

Washington State University

Zhaoyu Wang

Iowa State University

Salish Maharjan

Iowa State University

Min Lwin

INS Engineering

Tamojit Chakraborty

INS Engineering

Richard Kirby

Schweitzer Engineering Laboratories, Inc.

Hemanth Kumar Vemprala

Schweitzer Engineering Laboratories, Inc.

Tanushri Doshi

Schweitzer Engineering Laboratories, Inc.

Clifford Galli

Schweitzer Engineering Laboratories, Inc.

Phil Stoaks

Schweitzer Engineering Laboratories, Inc.

Drew Cannon

Schweitzer Engineering Laboratories, Inc.

Michael Oshetski

Founder & CTO of Micatu

Heide Caswell

Oregon Public Utility Commission

Tyler Jones

Reliciti

Joshua Jones

Pacificorp

Chase Talbot

Pacificorp

Daniel Donaldson

University of Birmingham

Topics

AI
Engineering
Technology

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