A National Infrastructure for Artificial Intelligence on the Grid
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.
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.
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.
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.