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Study and application of OLAP data warehouse in decision of power system dispatching

Xianglong Tang

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Abstract

A real power system is selected as the research background. Based on analyzing and reorganizing the originally existing dada sources, the power system dispatch data warehouse is formed and snowflake mode cubes for multi-dimension data are established. By using OLAP and data mining technology, forecasting load, analyzing and inquiring data warehouse are realized from different point view and multi-layers. It shows that the system is able to provide the valid decision-making information for the dispatchers and managers in power system.

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What this paper is about

A real power system is selected as the research background. Based on analyzing and reorganizing the originally existing dada sources, the power system dispatch data warehouse is formed and snowflake mode cubes for multi-dimension data are established. By using OLAP and data mining technology, forecasting load, analyzing and inquiring data warehouse are realized from different point view and multi-layers. It shows that the system is able to provide the valid decision-making information for the dispatchers and managers in power system.

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Available abstract

A real power system is selected as the research background. Based on analyzing and reorganizing the originally existing dada sources, the power system dispatch data warehouse is formed and snowflake mode cubes for multi-dimension data are established. By using OLAP and data mining technology, forecasting load, analyzing and inquiring data warehouse are realized from different point view and multi-layers. It shows that the system is able to provide the valid decision-making information for the dispatchers and managers in power system.

Key concepts: Online analytical processing, Data warehouse, Computer science, Dimension (graph theory), Database, Data mining, Mode (computer interface), Power (physics)

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