Public power utilities are included in a new global consortium -- the Open Power AI Consortium – launched by the Electric Power Research Institute to drive the development and deployment of an open AI model tailored for the power sector.
Guidance will be provided through an Executive Advisory Group as well as the general membership including top executives from the following entities (public power utilities are bolded):
- ACWA (NOMAC)
- Alliant Energy
- Ameren
- Constellation
- Con Edison
- CPS Energy
- Dairyland Power Cooperative
- Duke Energy
- ENOWA (NEOM’s Energy and Water Company)
- Exelon
- GCC Interconnection Authority
- Georgia Transmission Corporation
- KEPCO
- KHNP
- Khalifa University
- MISO
- North Carolina’s Electric Cooperatives
- New York Power Authority
- Pacific Gas and Electric Company
- Portland General Electric
- PPL Corporation
- RTE
- Santee Cooper
- Saudi Electricity Company
- Southern Company
- Southern California Edison
- Tennessee Valley Authority
- WEC Energy Group
- Westinghouse Electric Company
The energy executives will join key technology companies Articul8, AWS, Linux Foundation Energy, Microsoft, NVIDIA, Oracle, Rolls-Royce SMR Limited, SHI and WWT as members, with future members to be added.
The consortium will focus on three primary areas:
- Develop and maintain open-source AI/Gen AI domain-specific models, datasets, libraries, optimized to address power sector-specific challenges.
- Create a sandbox environment to develop and validate AI applications (use cases) in collaboration with startups, academia, national labs, utilities, and technology companies.
- Deploy AI models leveraging global resources and expertise and incorporate lessons learned to accelerate innovation and de-risk deployment.
The launch at a recent NVIDIA event highlights an important first step in developing domain-specific GenAI models (DSM), EPRI said. EPRI, together with Articul8 and NVIDIA, has developed the first set of industry-first domain-specific GenAI models for electric and power systems aimed at advancing the energy transformation, EPRI said.
The DSM will be made available as an NVIDIA NIM microservice for early access. This development sets the foundation for more to come in the following months.
To learn more or join the consortium, visit msites.epri.com/opai or email OpenPowerAI@epri.com.
