Data processing framework with analytic infrastructure for future smart grid

This paper provides an approach for data processing infrastructure in next generation of smart grid, which would be more complicated with heterogeneous factors, such as renewable energy resources, electric vehicles, micro-grids, smart meter, demand-side energy management system, demand response, and...

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Published in2014 International Conference on Renewable Energy Research and Application (ICRERA) pp. 241 - 244
Main Authors Yamzaki, Jiro, Fukuhara, Hideyuki, Itoh, Yuya, Mursawa, Masanari, Tsai, Joseph, Yoshino, Daishi, Kikuchi, Shinji, Tokura, Hajime, Hayashi, Takafumi, Iwase, Jiro
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Batteries
bigdata
cloud-computing
complex event processing
Data analysis
data-mining
messaging-network
micro-grid
network-centric
Real-time systems
renewable energy
Renewable energy sources
smart grid
Smart grids
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Summary:This paper provides an approach for data processing infrastructure in next generation of smart grid, which would be more complicated with heterogeneous factors, such as renewable energy resources, electric vehicles, micro-grids, smart meter, demand-side energy management system, demand response, and dynamic-pricing. To solve this complicated environment, key technology is information technologies and then this paper proposes a scheme and data processing framework with analytic infrastructure for future Smart Grid, which would make innovative application and service with effective development.
DOI:10.1109/ICRERA.2014.7016563