Member Representative Committee

About This Committee

MRC Lead: Jeremy Renshaw

The Member Representative Committee (MRC) coordinates activities across the Open Power AI Consortium and is comprised of organizations across the energy and technology industries. Each member organization designates one representative to the MRC, typically the head of AI or equivalent role for the organization.



The MRC drives collaboration and progress across the activities of the Open Power AI Consortium, including coordinating the participation of their organizations in the various consortium work groups.



The purpose of the Member Representative Committee is to coordinate the activities of the consortium with member organizations to accelerate the development of AI systems, enhance AI performance and adoption, and reduce operating costs while maintaining or improving safety, reliability, and customer experience.



MRC meetings are held monthly on the third Wednesday of each month from 11:00 AM to 12:00 PM ET. Meeting recordings and materials are posted on the OPAI website following each session and available to the public.

Meeting Materials

OPAI: Consortium Meeting - July

Jul 15, 2026

This meeting featured presentations from:

Southern Company

MIT

EPRI

Microsoft

XCIS AI

Invitation to Southern Company's Technical Conference

Climate Change AI Virtual Summer School

Developing Training for DSMs/SLMs

Accelerating Nuclear Permitting with AI Solutions

Accelerating Nuclear Innovation with Data, Analytics & AI

Recording Materials

OPAI: Consortium Meeting - June

Jun 17, 2026

This meeting featured presentations from:

ADELAT

Cogna

 Lessons Learned from Electricity Distribution Companies in Latin America in AI Implementation

Custom Software Development for Businesses (Streetworks Demo)

Recording Materials

OPAI: Consortium Meeting - May

May 20, 2026

This meeting featured presentations from:

EPRI

World Wide Technology

eSmart Systems

AI Model Playbook for Self-Hosting Large Language Models

Turning AI Research into Operational Reality for Electric Utilities

Grid Vision: AI-Powered Virtual Inspections and Asset Data Management

Recording Materials