Business Intelligence and Data Analytics (BI&DA) to Support the Operation of Smart Grid - Business Intelligence and Data Analytics (BI&DA) for Smart Grid

G. Escobedo, Norma Jacome, G. Arroyo-Figueroa

Abstract

Smart Grid is the modernization of electrical networks using intelligent systems and information technologies. The growing interest that the smart grid is attracting and its multidisciplinary nature motivate the need for solutions coming from different fields of knowledge. Due to the complexity, and heterogeneity of the smart grid and the high volume of information to be processed, Business Intelligence and Data Analytics (BI&DA) appear to be some of the enabling technologies for its future development and success. The aim of this article is proposed a framework for the development of BI&DA techniques applied to the different issues that arise in the smart grid development. As case study the paper presents the applications of BI&DA in database of processes security for Distribution System. The goal is to have available and timely information to make better decisions, to reduce the number of accidents and incidents. This work is therefore devoted to summarize the most relevant challenges addressed by the smart grid technologies and how BI&DA systems can contribute to their achievement.

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Paper Citation


in Harvard Style

Escobedo G., Jacome N. and Arroyo-Figueroa G. (2016). Business Intelligence and Data Analytics (BI&DA) to Support the Operation of Smart Grid - Business Intelligence and Data Analytics (BI&DA) for Smart Grid . In Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: RAIBS, (IOTBD 2016) ISBN 978-989-758-183-0, pages 489-496. DOI: 10.5220/0005936604890496


in Bibtex Style

@conference{raibs16,
author={G. Escobedo and Norma Jacome and G. Arroyo-Figueroa},
title={Business Intelligence and Data Analytics (BI&DA) to Support the Operation of Smart Grid - Business Intelligence and Data Analytics (BI&DA) for Smart Grid},
booktitle={Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: RAIBS, (IOTBD 2016)},
year={2016},
pages={489-496},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005936604890496},
isbn={978-989-758-183-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: RAIBS, (IOTBD 2016)
TI - Business Intelligence and Data Analytics (BI&DA) to Support the Operation of Smart Grid - Business Intelligence and Data Analytics (BI&DA) for Smart Grid
SN - 978-989-758-183-0
AU - Escobedo G.
AU - Jacome N.
AU - Arroyo-Figueroa G.
PY - 2016
SP - 489
EP - 496
DO - 10.5220/0005936604890496