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.
%0 Conference Paper
%1 Simmhan:buildsys:2011
%A Simmhan, Yogesh
%A Prasanna, Viktor
%A Aman, Saima
%A Natarajan, Sreedhar
%A Yin, Wei
%A Zhou, Qunzhi
%B Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings
(BuildSys)
%D 2011
%I ACM
%K cep, demo grid. information integration, learning, machine peer reviewed, smart usc,
%P 1--2
%T Towards Data-driven Demand-Response Optimization in a Campus Microgrid
%U http://ceng.usc.edu/~simmhan/pubs/simmhan-buildsys-2011.pdf
%X 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.
@inproceedings{Simmhan:buildsys:2011,
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.},
added-at = {2014-08-13T04:08:36.000+0200},
author = {Simmhan, Yogesh and Prasanna, Viktor and Aman, Saima and Natarajan, Sreedhar and Yin, Wei and Zhou, Qunzhi},
biburl = {https://www.bibsonomy.org/bibtex/2e2bceae387353cf6e3172e43a9a9a1bc/simmhan},
booktitle = {Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings
(BuildSys)},
interhash = {7f97f813119f62f75f4870a2fa420b93},
intrahash = {e2bceae387353cf6e3172e43a9a9a1bc},
keywords = {cep, demo grid. information integration, learning, machine peer reviewed, smart usc,},
note = {Demo},
owner = {Simmhan},
pages = {1--2},
publisher = {ACM},
timestamp = {2014-08-13T04:08:36.000+0200},
title = {Towards Data-driven Demand-Response Optimization in a Campus Microgrid},
url = {http://ceng.usc.edu/~simmhan/pubs/simmhan-buildsys-2011.pdf},
year = 2011
}