UCTV Seminars

description:

As demand for cost-effective energy and resource management continues to grow, intelligent automated building solutions are necessary to reduce energy consumption, increase alternative energy sources and reduce operational costs. UC San Diego's 1200-acre campus provides a forward-thinking, innovation engine to reduce the overall carbon footprint of its 45 MW peak load Smart Grid. In collaborations with the research community and commercial sector, PACE is developing a scalable temporal predictive analytics tool for large scale, real-time energy management.

more on this subject:

2 Billion Cars: Driving Towards Sustainability

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host links:

UCSD Office of Research Affairs Web Site

more from this conference:

Opening Remarks - Sandy Brown and Phil Bourne - Big Data at UCSD

Using Twitter Data to Predict Flu Outbreak

Real-Time Streaming Data from Electricity Grids: Distributed Event Detection and Dynamic Modeling

End-to-end Data Solutions for Simulations at Extreme-scale

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