The Convergence of Massive Data and Complex Control in the Future U.S. Power Grid

Saturday, 14 February 2015: 1:00 PM-2:30 PM
Room LL21C (San Jose Convention Center)
The ability to measure, model, predict, communicate, respond, and control grid operation in real time will need to change dramatically to provide a future grid that is resilient and enables high penetration of renewables, energy storage, electric transportation, and responsive loads. At the heart of this change is the need for advancements in the ability to organize, analyze, and visualize data in near real time. The ultimate goal is to predict the future state of grid operations with tens of millions of communication and control points; this advance will require the convergence of electric grid operations, information networks, financial networks, and social networks. This symposium brings together leading experts from the electric power industry, big data/analytics, software, grid architecture, networking, and control system companies to frame and discuss the challenges with organizing large amounts of data and real-time analysis for next-generation grid operations.
Jeffrey Taft, Pacific Northwest National Laboratory
Jud Virden, Pacific Northwest National Laboratory
Rick Geiger, Cisco Systems
So Much Data, So Little Information
Kieran McLoughlin, IBM Global Energy and Utilities Industry
Electric Utilities and the Cloud
Jeffrey Taft, Pacific Northwest National Laboratory
Data, Analytics, and Control in Ultra-Large Scale Systems
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