Paper Info
Title
Cloud-Based Software Platform for Big Data Analytics in Smart Grids
Abstract
This article focuses on a scalable software platform for the Smart Grid cyber-physical system using cloud technologies. Dynamic Demand Response (D²R) is a challenge-application to perform intelligent demand-side management and relieve peak load in Smart Power Grids. The platform offers an adaptive information integration pipeline for ingesting dynamic data; a secure repository for researchers to share knowledge; scalable machine-learning models trained over massive datasets for agile demand forecasting; and a portal for visualizing consumption patterns, and validated at the University of Southern California's campus microgrid. The article examines the role of clouds and their tradeoffs for use in the Smart Grid Cyber-Physical System.
Year
DOI
Venue
2013
10.1109/MCSE.2013.39
Computing in Science and Engineering
Keywords
Field
DocType
big data analytics,agile demand forecasting,smart grids,scalable machine-learning model,cloud technology,adaptive information integration pipeline,cloud-based software platform,scalable software platform,southern california,smart grid cyber-physical system,smart power grids,dynamic demand,campus microgrid,stream processing,data handling,cloud computing,cyber physical systems,optimization,scientific computing,learning artificial intelligence,smart grid,information management,machine learning,big data,workflows
Information integration,Demand forecasting,Smart grid,Computer science,Agile software development,Cyber-physical system,Computational science,Dynamic demand,Big data,Database,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
15
4
1521-9615
Citations 
PageRank 
References 
5
0.54
0
Authors
7
Name
Order
Citations
PageRank
Yogesh Simmhan11904134.15
Viktor K. Prasanna27211762.74
Saima Aman322718.13
Alok Kumbhare4271.78
Rongyang Liu550.54
Samuel Stevens650.54
Qunzhi Zhao750.54