@simmhan

Towards Data-driven Demand-Response Optimization in a Campus Microgrid

, , , , , and . Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys), page 1--2. ACM, (2011)Demo.

Abstract

We describe and demonstrate a prototype software architecture to support data-driven demand response optimization (DR) in the USC campus microgrid, as part of the Los Angeles Smart Grid Demonstration Project. The architecture includes a semantic information repository that integrates diverse data sources to support DR, demand forecasting using scalable machine-learned models, and detection of load curtailment opportunities by matching complex event patterns.

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