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2007•Telecommunications for Electric Power SystemRequires access

Design of DSS in power system based on Data Warehouse and OLAP

Jinsha Yuan

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Abstract

Data Warehouse and On-Line Analytical Processing (OLAP) are the key technologies in building Decision and Support System (DSS). Taking power system as a research background, this paper firstly analyses the deficiency of enterprise informatization, proposes the solutions for building DSS. Then briefly introduces basic concept, characteristics and architecture of Data Warehouse and OLAP. Finally, based on the loads of transformer in power system, the paper designs a DSS which can realize the designs of system architecture, Data Warehouse and OLAP. The DSS provides useful means for decision making in power system.

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What this paper is about

Data Warehouse and On-Line Analytical Processing (OLAP) are the key technologies in building Decision and Support System (DSS). Taking power system as a research background, this paper firstly analyses the deficiency of enterprise informatization, proposes the solutions for building DSS. Then briefly introduces basic concept, characteristics and architecture of Data Warehouse and OLAP. Finally, based on the loads of transformer in power system, the paper designs a DSS which can realize the designs of system architecture, Data Warehouse and OLAP. The DSS provides useful means for decision making in power system.

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Available abstract

Data Warehouse and On-Line Analytical Processing (OLAP) are the key technologies in building Decision and Support System (DSS). Taking power system as a research background, this paper firstly analyses the deficiency of enterprise informatization, proposes the solutions for building DSS. Then briefly introduces basic concept, characteristics and architecture of Data Warehouse and OLAP. Finally, based on the loads of transformer in power system, the paper designs a DSS which can realize the designs of system architecture, Data Warehouse and OLAP. The DSS provides useful means for decision making in power system.

Key concepts: Online analytical processing, Data warehouse, Decision support system, Informatization, Database, Computer science, Architecture, Key (lock)

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