Economics at your fingertips  

Databases in Cloud - Solutions for Developing Renewable Energy Informatics Systems

Adela Bara (), Iuliana Botha () and Anda Velicanu ()
Additional contact information
Adela Bara: The Bucharest University of Economic Studies, Romania
Iuliana Botha: The Bucharest University of Economic Studies, Romania
Anda Velicanu: The Bucharest University of Economic Studies, Romania

Database Systems Journal, 2017, vol. 8, issue 2, 19-28

Abstract: The paper presents the data model of a decision support prototype developed for generation monitoring, forecasting and advanced analysis in the renewable energy filed. The solutions considered for developing this system include databases in cloud, XML integration, spatial data representation and multidimensional modeling. This material shows the advantages of Cloud databases and spatial data representation and their implementation in Oracle Database 12 c. Also, it contains a data integration part and a multidimensional analysis. The presentation of output data is made using dashboards.

Keywords: Renewable Energy; Data Model; Databases in Cloud; Spatial Data; Data Warehouse (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations Track citations by RSS feed

Downloads: (external link) (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Database Systems Journal is currently edited by Ion Lungu

More articles in Database Systems Journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Series data maintained by Adela Bara ().

Page updated 2017-09-29
Handle: RePEc:aes:dbjour:v:8:y:2017:i:2:p:19-28