Databases in Cloud - Solutions for Developing Renewable Energy Informatics Systems

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 mul...

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Main Authors: Adela BARA, Iuliana BOTHA, Anda VELICANU
Format: Article
Language:English
Published: Bucharest University of Economic Studies 2017-08-01
Series:Database Systems Journal
Subjects:
Online Access:http://www.dbjournal.ro/archive/28/28_3.pdf
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author Adela BARA
Iuliana BOTHA
Anda VELICANU
author_facet Adela BARA
Iuliana BOTHA
Anda VELICANU
author_sort Adela BARA
collection DOAJ
description 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.
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2069-3230
language English
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spelling doaj.art-52664a33bbad48b497a9038390570ed82023-09-03T10:02:27ZengBucharest University of Economic StudiesDatabase Systems Journal2069-32302069-32302017-08-01VIII21928Databases in Cloud - Solutions for Developing Renewable Energy Informatics SystemsAdela BARA0Iuliana BOTHA1Anda VELICANU2The Bucharest University of Economic Studies, RomaniaThe Bucharest University of Economic Studies, RomaniaThe Bucharest University of Economic Studies, RomaniaThe 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.http://www.dbjournal.ro/archive/28/28_3.pdfRenewable EnergyData ModelDatabases in CloudSpatial DataData Warehouse
spellingShingle Adela BARA
Iuliana BOTHA
Anda VELICANU
Databases in Cloud - Solutions for Developing Renewable Energy Informatics Systems
Database Systems Journal
Renewable Energy
Data Model
Databases in Cloud
Spatial Data
Data Warehouse
title Databases in Cloud - Solutions for Developing Renewable Energy Informatics Systems
title_full Databases in Cloud - Solutions for Developing Renewable Energy Informatics Systems
title_fullStr Databases in Cloud - Solutions for Developing Renewable Energy Informatics Systems
title_full_unstemmed Databases in Cloud - Solutions for Developing Renewable Energy Informatics Systems
title_short Databases in Cloud - Solutions for Developing Renewable Energy Informatics Systems
title_sort databases in cloud solutions for developing renewable energy informatics systems
topic Renewable Energy
Data Model
Databases in Cloud
Spatial Data
Data Warehouse
url http://www.dbjournal.ro/archive/28/28_3.pdf
work_keys_str_mv AT adelabara databasesincloudsolutionsfordevelopingrenewableenergyinformaticssystems
AT iulianabotha databasesincloudsolutionsfordevelopingrenewableenergyinformaticssystems
AT andavelicanu databasesincloudsolutionsfordevelopingrenewableenergyinformaticssystems