Data processing framework with analytic infrastructure for future smart grid

Author

Yamzaki, Jiro ; Fukuhara, Hideyuki ; Itoh, Yoshio ; Mursawa, Masanari ; Tsai, Jui-che ; Yoshino, Daishi ; Kikuchi, Shinji ; Tokura, Hajime ; Hayashi, Teruaki ; Iwase, Jiro

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of Aizu, Aizu-Wakamatsu, Japan

fYear

2014

fDate

19-22 Oct. 2014

Firstpage

241

Lastpage

244

Abstract

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.

Keywords

data handling; power engineering computing; smart power grids; analytic infrastructure; data processing infrastructure; demand response; demand-side energy management system; dynamic-pricing; electric vehicles; future smart grid; information technology; microgrids; renewable energy resources; smart meter; Batteries; Data analysis; Real-time systems; Renewable energy sources; Smart grids; bigdata; cloud-computing; complex event processing; data-mining; messaging-network; micro-grid; network-centric; renewable energy; smart grid;

fLanguage

English

Publisher

ieee

Conference_Titel

Renewable Energy Research and Application (ICRERA), 2014 International Conference on

Conference_Location

Milwaukee, WI

Type

conf

DOI

10.1109/ICRERA.2014.7016563

Filename

7016563