Renewable Energy Decision Support Systems: The Challenge of Data Integration

Ioana Andreea STĂNESCU^1*, Veronica ȘTEFAN², Gabriela NEAGU³, Carmen Elena CÎRNU⁴

¹Advanced Technology Systems,
1, Tineretului Str., Târgoviște, 130029, Romania
ioana.stanescu@ats.com.ro
² Valahia University of Târgovişte,
2, Carol Bd., Târgoviște, 130024, Romania
veronica.stefan@ats.com.ro
³ Research Institute for Quality of Life,
13 Calea 13 Septembrie, Bucharest, 050711, Romania
gabi.neagu@iccv.ro

⁴ I C I Bucharest
(National Institute for R & D in Informatics)
8-10 Averescu Blvd.
011455 Bucharest 1, Romania
carmen.cirnu@ici.ro

* Corresponding author

Abstract: The practical benefits of a Decision Support System rely heavily on the system’s ability to efficiently aggregate and manage large volumes of data, information, and knowledge from heterogeneous sources. The authors approach this challenge and explore the concept of flexible software architectures that support highly customizable decision environments at end-user level. The paper proposes a mechanism applied in the Renewable Energy filed that enables end-users to visually describe data and knowledge source structures using a set of data types and semantic annotations, and to integrate them into the DSS logic without intervention from system developers.

Keywords: Dynamic software architecture, self-service, INDESEN.

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CITE THIS PAPER AS:
Ioana Andreea STĂNESCU, Veronica ȘTEFAN, Gabriela NEAGU, Carmen Elena CÎRNU, Renewable Energy Decision Support Systems: The Challenge of Data Integration, Studies in Informatics and Control, ISSN 1220-1766, vol. 24 (2), pp. 191-200, 2015. https://doi.org/10.24846/v24i2y201507