loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: G. Escobedo ; Norma Jacome and G. Arroyo-Figueroa

Affiliation: Instituto de Investigaciones Eléctricas, Mexico

Keyword(s): Data Mining, Data Analytics, Business Intelligence, Operational BI, Smart Grid, Electric Power Utility, Information Systems.

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 challen ges addressed by the smart grid technologies and how BI&DA systems can contribute to their achievement. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.22.70.9

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (IOTBD 2016) - RAIBS; ISBN 978-989-758-183-0, SciTePress, pages 489-496. DOI: 10.5220/0005936604890496

@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 (IOTBD 2016) - RAIBS},
year={2016},
pages={489-496},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005936604890496},
isbn={978-989-758-183-0},
}

TY - CONF

JO - Proceedings of the International Conference on Internet of Things and Big Data (IOTBD 2016) - RAIBS
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
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic