Author(s):
Mendes, Armando B. 
Date: 2010
Persistent ID: http://hdl.handle.net/10400.3/2184
Origin: Repositório da Universidade dos Açores
Subject(s): Decision Support Systems; Data Mining; Operations Efficiency; OLAP
Document details
BI and data warehouse solutions for energy production industry: Application of ...
Description
DSS 2010, 15th IFIP WG 8.3 International Conference on Decision Support Systems. Faculdade de Ciências, Universidade de Lisboa, Lisboa, 7 a 10 de Julho de 2010 (Comunicação). This paper reports two projects for supporting decisions of the Company of Electricity in Azores Islands, Electricidade dos Açores. There were several decisions to support, such as whether communications between islands should moved from the present telephone lines to VoIP, and if better models to support forecast power consumption should be adopted. The solution established integrates OLAP cubes in a data mining project, based on CRISP-DM process model. Both for strategic and more operational decisions the objective was always to get accurate data, build a data warehouse and to get tools to analyze it in order to properly inform the decision makers. These DSS’s translates big CSV flat files or acquire data in real time from operational Data Bases to update a data warehouse, including importing, evaluating data quality and populating relational tables. Multidimensional data cubes with numerous dimensions and measures were used for operational decisions and as exploration tools in the strategic ones. Data mining models for forecasting, clustering, decision trees and association rules identified several inefficient procedures and even fraud situations. Not only was possible to support the necessary decisions, but several models were also displayed so that control decision makers and strategists could support new problems.
DSS 2010, 15th IFIP WG 8.3 International Conference on Decision Support Systems. Faculdade de Ciências, Universidade de Lisboa, Lisboa, 7 a 10 de Julho de 2010 (Comunicação). This paper reports two projects for supporting decisions of the Company of Electricity in Azores Islands, Electricidade dos Açores. There were several decisions to support, such as whether communications between islands should moved from the present telephone lines to VoIP, and if better models to support forecast power consumption should be adopted. The solution established integrates OLAP cubes in a data mining project, based on CRISP-DM process model. Both for strategic and more operational decisions the objective was always to get accurate data, build a data warehouse and to get tools to analyze it in order to properly inform the decision makers. These DSS’s translates big CSV flat files or acquire data in real time from operational Data Bases to update a data warehouse, including importing, evaluating data quality and populating relational tables. Multidimensional data cubes with numerous dimensions and measures were used for operational decisions and as exploration tools in the strategic ones. Data mining models for forecasting, clustering, decision trees and association rules identified several inefficient procedures and even fraud situations. Not only was possible to support the necessary decisions, but several models were also displayed so that control decision makers and strategists could support new problems.
Document Type
Conference Object
Language English
Language English
| Financiadores do RCAAP | |||||||
|
|
|
|
|
|
||