FRP Symposium: Data Center and Power Grid Interactions: Challenges and Opportunities

The goal of the Privacy Preserving Energy Analytics for Data Centers FRP is to demonstrate, for the first time, that large-scale computer systems will achieve cost reduction and energy efficiency improvements via a novel privacy-preserving, collaborative, and scalable analytics and optimization framework. The researchers aim to achieve this goal through a specific high-impact application of our privacy-preserving analytics framework: collaborative data center demand response, where data centers interact and jointly optimize for achieving better electricity cost tradeoffs and energy efficiency in the grid. This research is only possible with a convergent research team and approach, spanning expertise and solutions across energy (power systems and grid), computing design automation, optimization, privacy, computer systems, and hardware. This FRP is cosponsored by Hariri Institute for Computing and the Center for Reliable Information Systems & Cyber Security (RISCS).

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