Cloud-Based Software Platform for Big Data Analytics in Smart Grids

被引：183

作者：

Simmhan, Yogesh ^{[1
,2
]}

Aman, Saima ^{[3
]}

Kumbhare, Aloe ^{[3
]}

Liu, Rongyang ^{[1
]}

Stevens, Sam ^{[4
]}

Zhou, Qunzhi ^{[3
]}

Prasanna, Viktor ^{[2
,4
]}

机构：

[1] Univ So Calif, Dept Elect Engn, Los Angeles, CA 90089 USA

[2] Univ So Calif, Ctr Energy Informat, Los Angeles, CA 90089 USA

[3] Univ So Calif, Dept Comp Sci, Los Angeles, CA 90089 USA

[4] Univ So Calif, Los Angeles, CA 90089 USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2013年 / 15卷 / 04期

基金：

美国国家科学基金会;

关键词：

big data analytics; cloud computing; cyber-physical systems; Dynamic Demand Response; machine learning; scientific computing; smart grid; software platform; stream processing; workflows;

D O I：

10.1109/MCSE.2013.39

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Dynamic Demand Response ((DR)-R-2) performs intelligent demand-side management and relieves peak load in power grids. Our cloud-based (DR)-R-2 platform, validated within a microgrid, offers an adaptive information integration pipeline for ingesting dynamic data; a secure repository for researchers; scalable machine-learning models trained over massive datasets for demand forecasting; and a portal for visualizing consumption patterns.

引用

页码：38 / 47

页数：10

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