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

被引：181
|
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
收藏
页码：38 / 47
页数：10
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