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Title: An Informatics Approach to Demand Response Optimization in Smart Grids

Abstract

Power utilities are increasingly rolling out “smart” grids with the ability to track consumer power usage in near real-time using smart meters that enable bidirectional communication. However, the true value of smart grids is unlocked only when the veritable explosion of data that will become available is ingested, processed, analyzed and translated into meaningful decisions. These include the ability to forecast electricity demand, respond to peak load events, and improve sustainable use of energy by consumers, and are made possible by energy informatics. Information and software system techniques for a smarter power grid include pattern mining and machine learning over complex events and integrated semantic information, distributed stream processing for low latency response,Cloud platforms for scalable operations and privacy policies to mitigate information leakage in an information rich environment. Such an informatics approach is being used in the DoE sponsored Los Angeles Smart Grid Demonstration Project, and the resulting software architecture will lead to an agile and adaptive Los Angeles Smart Grid.

Authors:
; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
City of Los Angeles Department
Sponsoring Org.:
USDOE
OSTI Identifier:
1290081
Report Number(s):
DOE-USC-00192-53
DOE Contract Number:  
OE0000192
Resource Type:
Other
Country of Publication:
United States
Language:
English

Citation Formats

Simmhan, Yogesh, Aman, Saima, Cao, Baohua, Giakkoupis, Mike, Kumbhare, Alok, Zhou, Qunzhi, Paul, Donald, Fern, Carol, Sharma, Aditya, and Prasanna, Viktor K. An Informatics Approach to Demand Response Optimization in Smart Grids. United States: N. p., 2011. Web.
Simmhan, Yogesh, Aman, Saima, Cao, Baohua, Giakkoupis, Mike, Kumbhare, Alok, Zhou, Qunzhi, Paul, Donald, Fern, Carol, Sharma, Aditya, & Prasanna, Viktor K. An Informatics Approach to Demand Response Optimization in Smart Grids. United States.
Simmhan, Yogesh, Aman, Saima, Cao, Baohua, Giakkoupis, Mike, Kumbhare, Alok, Zhou, Qunzhi, Paul, Donald, Fern, Carol, Sharma, Aditya, and Prasanna, Viktor K. 2011. "An Informatics Approach to Demand Response Optimization in Smart Grids". United States. https://www.osti.gov/servlets/purl/1290081.
@article{osti_1290081,
title = {An Informatics Approach to Demand Response Optimization in Smart Grids},
author = {Simmhan, Yogesh and Aman, Saima and Cao, Baohua and Giakkoupis, Mike and Kumbhare, Alok and Zhou, Qunzhi and Paul, Donald and Fern, Carol and Sharma, Aditya and Prasanna, Viktor K},
abstractNote = {Power utilities are increasingly rolling out “smart” grids with the ability to track consumer power usage in near real-time using smart meters that enable bidirectional communication. However, the true value of smart grids is unlocked only when the veritable explosion of data that will become available is ingested, processed, analyzed and translated into meaningful decisions. These include the ability to forecast electricity demand, respond to peak load events, and improve sustainable use of energy by consumers, and are made possible by energy informatics. Information and software system techniques for a smarter power grid include pattern mining and machine learning over complex events and integrated semantic information, distributed stream processing for low latency response,Cloud platforms for scalable operations and privacy policies to mitigate information leakage in an information rich environment. Such an informatics approach is being used in the DoE sponsored Los Angeles Smart Grid Demonstration Project, and the resulting software architecture will lead to an agile and adaptive Los Angeles Smart Grid.},
doi = {},
url = {https://www.osti.gov/biblio/1290081}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {3}
}