An analytical method of electric power consumers behavior based on Storm

DOI

10.2991/msetasse-15.2015.253How to use a DOI?

Keywords

Large data ;Storm; real time ;clustering

Abstract

The smart grid is one of the important fields of large data applications. The study of power behavior of the user in the big data environment has important significance for the demand side management ,load forecasting and so on . Aiming at the problem of insufficient real-time response capability of massive power data, the introduction of distributed real-time computing platform Storm is used to analyze the user's behavior. In this paper, the k-means algorithm is implemented under the Storm framework. Through the experimental test and comparison analysis, it is verified that the Storm computing system can improve the real-time processing of the data, and can deal with large-scale data.

Copyright

© 2015, 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  - Dewen Wang
AU  - Liping Yang
PY  - 2015/11
DA  - 2015/11
TI  - An analytical method of electric power consumers behavior based on Storm
BT  - Proceedings of the 2015 3rd International Conference on Management Science, Education Technology, Arts, Social Science and Economics
PB  - Atlantis Press
SP  - 1196
EP  - 1199
SN  - 2352-5398
UR  - https://doi.org/10.2991/msetasse-15.2015.253
DO  - 10.2991/msetasse-15.2015.253
ID  - Wang2015/11
ER  -