A National Infrastructure for Artificial Intelligence on the Grid

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Program:
OPEN 2018
Award:
$5,000,000
Location:
El Segundo, California
Status:
ALUMNI
Project Term:
08/12/2019 - 08/11/2023

Technology Description:

PingThings will develop a national infrastructure for analytics and artificial intelligence (AI) on the power grid using a three-pronged approach. First, a scalable, cloud-based platform will store, process, analyze, and visualize grid sensor data. Second, massive open and accessible datasets will be created through (a) deploying grid sensors to capture wide-scale and localized grid behavior, (b) simulating and executing grid models to generate virtual sensor data, and (c) establishing a secure data exchange mechanism. Third, a diverse research community will be developed through focused educational content, online code sharing, and data and AI competitions. The project’s goal is to accelerate the development of data-driven use cases to improve grid operation and analysis.

Potential Impact:

This project will make research on DOE target impact areas easier to conduct by providing state-of-the-art tools and open access to necessary sensor datasets for analytic development and training of ML and Deep Learning (DL) models.

Security:

Development of a national infrastructure for AI will create a more secure power grid through situational awareness from grid data analytics, and help ensure the U.S. maintains its energy and AI technological lead.

Environment:

Realizing data-driven applications using ML and DL to drive efficient use of grid assets will also yield a corresponding decrease in emissions, primarily through more effective algorithms for integrating and operating distributed energy resources.

Economy:

Each component of the proposed AI infrastructure requires innovation, increases in value when integrated into the other components, and improves on current solutions. Access to data will drive AI/ML techniques within the power sector that will transform the way the grid is managed and enable a more efficient, economic, and reliable operation.

Contact

ARPA-E Program Director:
Dr. Richard O'Neill
Project Contact:
Mr. Sean Murphy
Press and General Inquiries Email:
ARPA-E-Comms@hq.doe.gov
Project Contact Email:
sean@pingthings.io

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Release Date:
12/13/2017