
Member Benefits and Engagement Expectations
COMING SOON
Consortium Members






































OUR OBJECTIVES
Develop and Maintain Datasets, Open-Source Libraries, AI Accelerators, and AI/Gen AI Models
Collect and curate electric power industry datasets for use with AI model training, testing, and benchmarking.
Develop and share code libraries and AI accelerators via open-source repositories and EPRI.com.
Create, train, and update AI and generative AI models tailored to the electric sector.
Develop AI roadmaps in partnership with EPRI member utilities and partners.

AI Sandbox Development, and Evaluation
Establish a collaborative platform where researchers can evaluate AI use cases in a controlled environment.
Enable consortium members to share their use cases for refinement and evaluation, fostering a culture of innovation and continuous improvement.
Provide tools and resources for testing and validating AI solutions before deployment in real-world scenarios.

Support Implementation Partnering with Utilities and their Key AI Technology Providers
Collaborate with leading AI technology providers to deploy AI use cases using member proprietary data.
Develop a feedback loop from initial deployments back to the AI sandbox to ensure continuous refinement and optimization of AI solutions.
Facilitate knowledge sharing and best practices among consortium members to maximize the impact of AI technologies.


More AI Work Going On At EPRI
AI at EPRI
EPRI's Artificial Intelligence (AI) efforts are focused on collaboratively convening AI experts with robust datasets, developing deployable AI solutions that can enable the energy transition, and providing guidance for practitioners to deploy safe and responsible AI at scale.

Data Center Flexibility Initiative
The demand for energy to power data centers is increasing, largely driven by the rapid expansion of AI. EPRI’s DCFlex Initiative will demonstrate how data centers can support and stabilize the electric grid while improving interconnection and efficiency.

AI in the Energy Sector
This white paper examines the applications and implications of artificial intelligence (AI) and generative AI in the energy sector, with an emphasis on the cyber security risks that these technologies entail.
