Conception of a Big Data platform in context of the energy industry

DOI

10.2991/ict4s-16.2016.5How to use a DOI?

Keywords

Big data, energy, renewables, smart grid, wind power, solar power, Hadoop

Abstract

In this paper, the idea of an integrated large scalable big data platform for the energy industry as a contribution to EMIS will be described. For this, use cases are identified that could bring forward a sustainable energy consumption and that faces the challenges of a fluctuating energy production. Use cases and requirements for such a big data platform have been elaborated with help of interviews with experts from science and industry. Furthermore existing approaches e.g. from German OFFIS institute were taken in consideration. To strengthen the approach, a software prototype of the data platform was built based on Hadoop and evaluated with the German software company thepeaklab. The prototype collects data of multiple smart meter and realizes the identified use cases for producer and consumer.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Benjamin Wagner vom Berg
AU  - Marius Brinkmann
AU  - Jorge Marx Gomez
PY  - 2016/08
DA  - 2016/08
TI  - Conception of a Big Data platform in context of the energy industry
BT  - Proceedings of ICT for Sustainability 2016
PB  - Atlantis Press
SP  - 36
EP  - 41
SN  - 2352-538X
UR  - https://doi.org/10.2991/ict4s-16.2016.5
DO  - 10.2991/ict4s-16.2016.5
ID  - WagnervomBerg2016/08
ER  -