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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

4 Citationer (Scopus)

988 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.

Originalsprog	Engelsk
Titel	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
Redaktører	Malu Castellanos, Umeshwar Dayal, Elke A. Rundensteiner
Antal sider	22
Forlag	Springer Publishing Company
Publikationsdato	2013
Sider	1-22
ISBN (Trykt)	978-3-642-39871-1
ISBN (Elektronisk)	978-3-642-39872-8
DOI	https://doi.org/10.1007/978-3-642-39872-8_1
Status	Udgivet - 2013
Begivenhed	BIRTE 2012: Business Intelligence for the Real Time Enterprise - Istanbul, Tyrkiet Varighed: 27 aug. 2012 → … Konferencens nummer: 6th

Konference

Konference	BIRTE 2012
Nummer	6th
Land/Område	Tyrkiet
By	Istanbul
Periode	27/08/2012 → …

Navn	Lecture Notes in Business Information Processing
Vol/bind	154
ISSN	1865-1348

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

BIRTE_paperIndsendt manuskript, 1,34 MB

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Citationsformater

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. I M. Castellanos, U. Dayal, & E. A. Rundensteiner (red.), 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 (s. 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. red. / Malu Castellanos ; Umeshwar Dayal ; Elke A. Rundensteiner. Springer Publishing Company, 2013. s. 1-22 (Lecture Notes in Business Information Processing, Bind 154).

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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",

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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. i M Castellanos, U Dayal & EA Rundensteiner (red), 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, bind 154, s. 1-22, BIRTE 2012, Istanbul, Tyrkiet, 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. red. / Malu Castellanos; Umeshwar Dayal; Elke A. Rundensteiner. Springer Publishing Company, 2013. s. 1-22 (Lecture Notes in Business Information Processing, Bind 154).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › 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

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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

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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. I Castellanos M, Dayal U, Rundensteiner EA, red., 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. s. 1-22. (Lecture Notes in Business Information Processing, Bind 154). doi: 10.1007/978-3-642-39872-8_1

Real-Time Business Intelligence in the MIRABEL Smart Grid System

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