Real-Time Business Intelligence in the MIRABEL Smart Grid System

Ulrike Fischer; Dalia Kaulakiene; Mohamed Khalefa; Wolfgang Lehner; Torben Bach Pedersen; Laurynas Siksnys; Christian Thomsen

doi:10.1007/978-3-642-39872-8_1

Real-Time Business Intelligence in the MIRABEL Smart Grid System

Ulrike Fischer, Dalia Kaulakiene, Mohamed Khalefa, Wolfgang Lehner, Torben Bach Pedersen, Laurynas Siksnys, Christian Thomsen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

5 Citations (Scopus)

1021 Downloads (Pure)

Abstract

The so-called smart grid is emerging in the energy domain as a solution to provide a stable, efficient and sustainable energy supply accommodating ever growing amounts of renewable energy like wind and solar in the energy production. Smart grid systems are highly distributed, manage large amounts of energy related data, and must be able to react rapidly (but intelligently) when conditions change, leading to substantial real-time business intelligence challenges. This paper discusses these challenges and presents data management solutions in the European smart grid project MIRABEL. These solutions include real-time time series forecasting, real-time aggregation of the flexibilities in energy supply and demand, managing subscriptions for forecasted and flexibility data, efficient storage of time series and flexibilities, and real-time analytical query processing spanning past and future (forecasted) data. Experimental studies show that the proposed solutions support important real-time business intelligence tasks in a smart grid system.

Original language	English
Title of host publication	Enabling Real-Time Business Intelligence : 6th International Workshop, BIRTE 2012, Held at the 38th International Conference on Very Large Databases, VLDB 2012, Istanbul, Turkey, August 27, 2012, Revised Selected Papers
Editors	Malu Castellanos, Umeshwar Dayal, Elke A. Rundensteiner
Number of pages	22
Publisher	Springer Publishing Company
Publication date	2013
Pages	1-22
ISBN (Print)	978-3-642-39871-1
ISBN (Electronic)	978-3-642-39872-8
DOIs	https://doi.org/10.1007/978-3-642-39872-8_1
Publication status	Published - 2013
Event	BIRTE 2012: Business Intelligence for the Real Time Enterprise - Istanbul, Turkey Duration: 27 Aug 2012 → … Conference number: 6th

Conference

Conference	BIRTE 2012
Number	6th
Country/Territory	Turkey
City	Istanbul
Period	27/08/2012 → …

Series	Lecture Notes in Business Information Processing
Volume	154
ISSN	1865-1348

Access to Document

10.1007/978-3-642-39872-8_1

BIRTE_paperSubmitted manuscript, 1.34 MB

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

Fischer, U., Kaulakiene, D., Khalefa, M., Lehner, W., Pedersen, T. B., Siksnys, L., & Thomsen, C. (2013). Real-Time Business Intelligence in the MIRABEL Smart Grid System. In M. Castellanos, U. Dayal, & E. A. Rundensteiner (Eds.), Enabling Real-Time Business Intelligence: 6th International Workshop, BIRTE 2012, Held at the 38th International Conference on Very Large Databases, VLDB 2012, Istanbul, Turkey, August 27, 2012, Revised Selected Papers (pp. 1-22). Springer Publishing Company. https://doi.org/10.1007/978-3-642-39872-8_1

Fischer, Ulrike ; Kaulakiene, Dalia ; Khalefa, Mohamed et al. / Real-Time Business Intelligence in the MIRABEL Smart Grid System. Enabling Real-Time Business Intelligence: 6th International Workshop, BIRTE 2012, Held at the 38th International Conference on Very Large Databases, VLDB 2012, Istanbul, Turkey, August 27, 2012, Revised Selected Papers. editor / Malu Castellanos ; Umeshwar Dayal ; Elke A. Rundensteiner. Springer Publishing Company, 2013. pp. 1-22 (Lecture Notes in Business Information Processing, Vol. 154).

@inproceedings{daeca8e8fa9142e7bf2a98e5ed6b7bdc,

title = "Real-Time Business Intelligence in the MIRABEL Smart Grid System",

abstract = "The so-called smart grid is emerging in the energy domain as a solution to provide a stable, efficient and sustainable energy supply accommodating ever growing amounts of renewable energy like wind and solar in the energy production. Smart grid systems are highly distributed, manage large amounts of energy related data, and must be able to react rapidly (but intelligently) when conditions change, leading to substantial real-time business intelligence challenges. This paper discusses these challenges and presents data management solutions in the European smart grid project MIRABEL. These solutions include real-time time series forecasting, real-time aggregation of the flexibilities in energy supply and demand, managing subscriptions for forecasted and flexibility data, efficient storage of time series and flexibilities, and real-time analytical query processing spanning past and future (forecasted) data. Experimental studies show that the proposed solutions support important real-time business intelligence tasks in a smart grid system.",

author = "Ulrike Fischer and Dalia Kaulakiene and Mohamed Khalefa and Wolfgang Lehner and Pedersen, {Torben Bach} and Laurynas Siksnys and Christian Thomsen",

year = "2013",

doi = "10.1007/978-3-642-39872-8_1",

language = "English",

isbn = "978-3-642-39871-1",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer Publishing Company",

pages = "1--22",

editor = "Malu Castellanos and Umeshwar Dayal and Rundensteiner, {Elke A.}",

booktitle = "Enabling Real-Time Business Intelligence",

address = "United States",

note = "BIRTE 2012 ; Conference date: 27-08-2012",

}

Fischer, U, Kaulakiene, D, Khalefa, M, Lehner, W, Pedersen, TB , Siksnys, L & Thomsen, C 2013, Real-Time Business Intelligence in the MIRABEL Smart Grid System. in M Castellanos, U Dayal & EA Rundensteiner (eds), Enabling Real-Time Business Intelligence: 6th International Workshop, BIRTE 2012, Held at the 38th International Conference on Very Large Databases, VLDB 2012, Istanbul, Turkey, August 27, 2012, Revised Selected Papers. Springer Publishing Company, Lecture Notes in Business Information Processing, vol. 154, pp. 1-22, BIRTE 2012, Istanbul, Turkey, 27/08/2012. https://doi.org/10.1007/978-3-642-39872-8_1

Real-Time Business Intelligence in the MIRABEL Smart Grid System. / Fischer, Ulrike; Kaulakiene, Dalia; Khalefa, Mohamed et al.
Enabling Real-Time Business Intelligence: 6th International Workshop, BIRTE 2012, Held at the 38th International Conference on Very Large Databases, VLDB 2012, Istanbul, Turkey, August 27, 2012, Revised Selected Papers. ed. / Malu Castellanos; Umeshwar Dayal; Elke A. Rundensteiner. Springer Publishing Company, 2013. p. 1-22 (Lecture Notes in Business Information Processing, Vol. 154).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Real-Time Business Intelligence in the MIRABEL Smart Grid System

AU - Fischer, Ulrike

AU - Kaulakiene, Dalia

AU - Khalefa, Mohamed

AU - Lehner, Wolfgang

AU - Pedersen, Torben Bach

AU - Siksnys, Laurynas

AU - Thomsen, Christian

N1 - Conference code: 6th

PY - 2013

Y1 - 2013

N2 - The so-called smart grid is emerging in the energy domain as a solution to provide a stable, efficient and sustainable energy supply accommodating ever growing amounts of renewable energy like wind and solar in the energy production. Smart grid systems are highly distributed, manage large amounts of energy related data, and must be able to react rapidly (but intelligently) when conditions change, leading to substantial real-time business intelligence challenges. This paper discusses these challenges and presents data management solutions in the European smart grid project MIRABEL. These solutions include real-time time series forecasting, real-time aggregation of the flexibilities in energy supply and demand, managing subscriptions for forecasted and flexibility data, efficient storage of time series and flexibilities, and real-time analytical query processing spanning past and future (forecasted) data. Experimental studies show that the proposed solutions support important real-time business intelligence tasks in a smart grid system.

AB - The so-called smart grid is emerging in the energy domain as a solution to provide a stable, efficient and sustainable energy supply accommodating ever growing amounts of renewable energy like wind and solar in the energy production. Smart grid systems are highly distributed, manage large amounts of energy related data, and must be able to react rapidly (but intelligently) when conditions change, leading to substantial real-time business intelligence challenges. This paper discusses these challenges and presents data management solutions in the European smart grid project MIRABEL. These solutions include real-time time series forecasting, real-time aggregation of the flexibilities in energy supply and demand, managing subscriptions for forecasted and flexibility data, efficient storage of time series and flexibilities, and real-time analytical query processing spanning past and future (forecasted) data. Experimental studies show that the proposed solutions support important real-time business intelligence tasks in a smart grid system.

U2 - 10.1007/978-3-642-39872-8_1

DO - 10.1007/978-3-642-39872-8_1

M3 - Article in proceeding

SN - 978-3-642-39871-1

T3 - Lecture Notes in Business Information Processing

SP - 1

EP - 22

BT - Enabling Real-Time Business Intelligence

A2 - Castellanos, Malu

A2 - Dayal, Umeshwar

A2 - Rundensteiner, Elke A.

PB - Springer Publishing Company

T2 - BIRTE 2012

Y2 - 27 August 2012

ER -

Fischer U, Kaulakiene D, Khalefa M, Lehner W, Pedersen TB , Siksnys L et al. Real-Time Business Intelligence in the MIRABEL Smart Grid System. In Castellanos M, Dayal U, Rundensteiner EA, editors, Enabling Real-Time Business Intelligence: 6th International Workshop, BIRTE 2012, Held at the 38th International Conference on Very Large Databases, VLDB 2012, Istanbul, Turkey, August 27, 2012, Revised Selected Papers. Springer Publishing Company. 2013. p. 1-22. (Lecture Notes in Business Information Processing, Vol. 154). doi: 10.1007/978-3-642-39872-8_1

Real-Time Business Intelligence in the MIRABEL Smart Grid System

Abstract

Conference

Access to Document

AUB Link

Fingerprint

Cite this