Real-Time Business Intelligence in the MIRABEL Smart Grid System [chapter]

Ulrike Fischer, Dalia Kaulakienė, Mohamed E. Khalefa, Wolfgang Lehner, Torben Bach Pedersen, Laurynas Šikšnys, Christian Thomsen
2013 Lecture Notes in Business Information Processing  
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
more » ... nges and presents data management solutions in the European smart grid project MIRABEL. These solutions include realtime 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 realtime 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. Key words: BI over streaming data, data capture in real-time, realtime decision support, tuning and management of the real-time data warehouse, data warehouse evolution, smart grids, renewable energy, flexibility defining data This work is partially done while visiting Dresden University of Technology 1 After agreement with the BIRTE 2012 PC Chairs, the paper is 22 pages long.
doi:10.1007/978-3-642-39872-8_1 fatcat:mfmn377aerb2fndjzgxemsdzxy