Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids

Conference · Thu Nov 15 00:00:00 EST 2012

DOI:https://doi.org/10.1007/978-3-642-35173-0_17· OSTI ID:1332287

Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor

Semantic Web allows us to model and query time-invariant or slowly evolving knowledge using ontologies. Emerging applications in Cyber Physical Systems such as Smart Power Grids that require continuous information monitoring and integration present novel opportunities and challenges for Semantic Web technologies. Semantic Web is promising to model diverse Smart Grid domain knowledge for enhanced situation awareness and response by multi-disciplinary participants. However, current technology does pose a performance overhead for dynamic analysis of sensor measurements. In this paper, we combine semantic web and complex event processing for stream based semantic querying. We illustrate its adoption in the USC Campus Micro-Grid for detecting and enacting dynamic response strategies to peak power situations by diverse user roles. We also describe the semantic ontology and event query model that supports this. Further, we introduce and evaluate caching techniques to improve the response time for semantic event queries to meet our application needs and enable sustainable energy management.

• Research Organization: City of Los Angeles Department
• Sponsoring Organization: USDOE Office of Electricity (OE)
• DOE Contract Number: OE0000192
• OSTI ID: 1332287
• Report Number(s): DOE-USC-00192-117
• Resource Relation: Journal Volume: 7650; Conference: International Semantic Web Conference Boston, MA, USA November 11-15, 2012
• Country of Publication: United States
• Language: English