Demo Abstract: Toward Data-driven Demand-Response Optimization in a Campus Microgrid

Conference · Tue Nov 01 00:00:00 EDT 2011

OSTI ID:1332284

Amam, Saima ^[1]; Natarajan, Sreedhar; Yin, Wei; Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor

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1. Power System Information & Advanced Technologies LADWP Power System Engineering Division

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.

• Research Organization: City of Los Angeles Department
• Sponsoring Organization: USDOE Office of Electricity Delivery and Energy Reliability (OE)
• DOE Contract Number: OE0000192
• OSTI ID: 1332284
• Report Number(s): DOE-USC-00192-1
• Country of Publication: United States
• Language: English