Toward data-driven demand-response optimization in a campus microgrid

BuildSys 2011 - Proceedings of the 3rd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, Held in Conjunction with ACM SenSys 2011

Volumn , Issue , 2011, Pages 41-42

  Simmhan, Yogesh ^a   Prasanna, Viktor ^a   Aman, Saima ^a   Natarajan, Sreedhar ^a   Yin, Wei ^a   Zhou, Qunzhi ^a  

^a University of Southern California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX EVENTS; DATA-SOURCES; DEMAND FORECASTING; DEMAND RESPONSE; DEMONSTRATION PROJECT; LOAD CURTAILMENT; LOS ANGELES; SEMANTIC INFORMATION;

OPTIMIZATION; SENSORS;

ENERGY EFFICIENCY;

EID: 84875172510     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2434020.2434032     Document Type: Conference Paper

References (4)

1. S. Aman, Y. Simmhan, and V. K. Prasanna. Improving Energy Use Forecast for Campus Micro-grids using Indirect Indicators. In Intl Workshop on Domain Driven Data Mining, 2011.
2. www.smartgrid.gov. Los Angeles Department of Water and Power: Smart Grid Regional Demonstration, December 2010.
3. Y. Simmhan, Q. Zhou, and V. K. Prasanna. Green IT: Technologies and Applications, chapter Semantic Information Integration for Smart Grid Applications. Springer, 2011.
4. Y. Simmhan, et al. An Informatics Approach to Demand Response Optimization in Smart Grids. Technical report, University of Southern California, 2011.