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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Bucharest University of Economic Studies
2017-08-01
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Series: | Database Systems Journal |
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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. |
first_indexed | 2024-03-12T04:31:44Z |
format | Article |
id | doaj.art-52664a33bbad48b497a9038390570ed8 |
institution | Directory Open Access Journal |
issn | 2069-3230 2069-3230 |
language | English |
last_indexed | 2024-03-12T04:31:44Z |
publishDate | 2017-08-01 |
publisher | Bucharest University of Economic Studies |
record_format | Article |
series | Database Systems Journal |
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 |