Work Groups
The Open Power AI Consortium is organized into three key work groups: the DSM Work Group, the Use Case Work Group, and the Implementation Work Group. Each group has specific responsibilities and objectives to advance the consortium's mission of leveraging AI for the power industry as outlined below.
Domain-Specific Model Work group
Develop a domain specific model for the power industry. Curate data and training strategies tailored to power system operations (generation, transmission & distribution, and end utilization and customer solutions).
Gather high value industry data. Prioritize high signal, properly governed datasets (including anonymized and synthetic data where appropriate) to ensure accuracy, reliability, and safety.
Work with the team to help develop the domain-specific model, including open-source and proprietary versions of the model.
Lead and coordinate with work group members to leverage their experience in either AI or Energy to enhance the performance of the DSM. Engage the work group to help with identifying use cases for which the DSM can be further trained on.
Benchmark the DSM to evaluate its performance and track progress over time.
Periodically report out to the Member Representative Committee (MRC)
Lead: Ben Sooter
Use Case Work Group
Work with the members of the work group to identify high value use cases for inclusion in the use case library/database. Catalog and prioritize opportunities by member value, feasibility, and risk to focus efforts for maximum impact.
Publish the use case library/database for OPAI member (or public) review.
Identify the highest value use cases. Use these to evaluate if there are existing solutions or work to develop projects in those areas with OPAI members.
Evaluate splitting into sub-groups to work on individual use cases.
Set up a sandbox or set of sandboxes to facilitate evaluation of use cases and properly protect data and IP.
Periodically report out to the Member Representative Committee (MRC)
Lead: Adrian Kelly
Implementation Work Group
Work with the members of the work group to identify organizations who have implemented and scaled AI solutions at their organizations and bring back lessons learned, challenges, and best practices to share with the group.
Develop and publish case studies and best practices guidelines for deploying, scaling, and maintaining AI models at a utility organization.
Collaborate with use case work groups to streamline deployment of models developed.
Potentially develop AI playbooks and roadmaps for specific purposes.
Periodically report out to the Member Representative Committee (MRC).
Lead: Jason Hollern
JOIN US
Join us in our journey to revolutionize the electric sector with cutting-edge AI innovations.
Together, we can achieve remarkable advancements and create a sustainable, intelligent future for all.
Consortium Members
A diverse, global membership of EPRI member and non-member utilities, academia, research organizations and national labs, technology companies, hyperscalers and AI infrastructure service providers, AI domain-specific model developers and experts and power sector tech companies will bring specialized expertise, resources, and perspectives to the table.
Members can choose how best to contribute according to their organizational needs and available resources, ensuring that the consortium remains flexible and dynamic while driving impactful results. Member engagement can include active participation in meetings, sharing data and insights, providing financial and in-kind contributions.
Executive Advisory Group
A subset of consortium members comprised of a small group of key EPRI member executives who are leading their digital/AI strategy and use cases, such as Chief Information Officers (CIOs) and Chief Operations Officers (COOs) will provide strategic guidance and oversight to ensure the consortium’s initiatives align with industry needs and priorities and facilitate high-level engagement and collaboration among consortium members.