Paper Info
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.
Year
DOI
Venue
2012
10.1007/978-3-642-39872-8_1
Lecture Notes in Business Information Processing
Keywords
Field
DocType
BI over streaming data,real-time decision support,tuning and management of the real-time data warehouse,smart grids,renewable energy,flexibility defining data,forecasting
Data mining,Business system planning,Information management,Business analytics,Web intelligence,Computer science,Business process modeling,Real-time business intelligence,Business intelligence,Database,Business activity monitoring
Conference
Volume
ISSN
Citations 
154
1865-1348
3
PageRank 
References 
Authors
0.63
2
7
Name
Order
Citations
PageRank
Ulrike Fischer110812.04
Dalia Kaulakiene250.98
Mohamed E. Khalefa31528.90
Wolfgang Lehner42243294.69
Torben Bach Pedersen52102181.24
Laurynas Šikšnys6668.58
Christian Thomsen79512.10