2006Dianli zidonghua shebeiRequires access

Dimensional modeling and data processing in data warehouse for regional power dispatch

Haitong Gu

Open publisher page 1 citations

Abstract

Based on the analysis,the data of operational systems for electric power dispatch are divided into three types:equipment description,periodical sample and events.More than 90 percent of warehouse data belong to the latter two types,most of them are real data.The method of sharing dimensional modeling is proposed.The source of data warehouse is the regional dispatch data relating to analysis.After data is processed in ETL(Extract,Transform,cleansing,Load) stage,they are saved into data warehouse,in the formation of data subset or data cube according to certain theme.There are 3NF(third Normal Form) scheme and star scheme for data warehouse dimensional modeling.The 3NF scheme is suitable for the core of data warehouse,while the star scheme is for data market to make query easier.The real data table and dimension table of dimensional model are described,and tables of sensor point dimension,date dimension and time dimension are designed.The data in ETL stage is the corresponding data of operational environments.After logical data model is transformed into physical data model,data is described in XML(eXtensible Markup Language) for data sharing between isomerous systems.It is pointed out that relations between fault and weather(temperature,humidity,etc.) or load should be considered.The basic dataflow of data mining by artificial neural networks is given.

About this research paper

What this paper is about

Based on the analysis,the data of operational systems for electric power dispatch are divided into three types:equipment description,periodical sample and events.More than 90 percent of warehouse data belong to the latter two types,most of them are real data.The method of sharing dimensional modeling is proposed.The source of data warehouse is the regional dispatch data relating to analysis.After data is processed in ETL(Extract,Transform,cleansing,Load) stage,they are saved into data warehouse,in the formation of data subset or data cube according to certain theme.There are 3NF(third Normal Form) scheme and star scheme for data warehouse dimensional modeling.The 3NF scheme is suitable for the core of data warehouse,while the star scheme is for data market to make query easier.The real data table and dimension table of dimensional model are described,and tables of sensor point dimension,date dimension and time dimension are designed.The data in ETL stage is the corresponding data of operational environments.After logical data model is transformed into physical data model,data is described in XML(eXtensible Markup Language) for data sharing between isomerous systems.It is pointed out that relations between fault and weather(temperature,humidity,etc.) or load should be considered.The basic dataflow of data mining by artificial neural networks is given.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Based on the analysis,the data of operational systems for electric power dispatch are divided into three types:equipment description,periodical sample and events.More than 90 percent of warehouse data belong to the latter two types,most of them are real data.The method of sharing dimensional modeling is proposed.The source of data warehouse is the regional dispatch data relating to analysis.After data is processed in ETL(Extract,Transform,cleansing,Load) stage,they are saved into data warehouse,in the formation of data subset or data cube according to certain theme.There are 3NF(third Normal Form) scheme and star scheme for data warehouse dimensional modeling.The 3NF scheme is suitable for the core of data warehouse,while the star scheme is for data market to make query easier.The real data table and dimension table of dimensional model are described,and tables of sensor point dimension,date dimension and time dimension are designed.The data in ETL stage is the corresponding data of operational environments.After logical data model is transformed into physical data model,data is described in XML(eXtensible Markup Language) for data sharing between isomerous systems.It is pointed out that relations between fault and weather(temperature,humidity,etc.) or load should be considered.The basic dataflow of data mining by artificial neural networks is given.

Key concepts: Data warehouse, Computer science, Data mining, Dimensional modeling, Database, Data modeling, Data model (GIS), Table (database)

Related papers

Back to paper searchBrowse research topicsOriginal source
Dimensional modeling and data processing in data warehouse for regional power dispatch — Research Paper | ScholarLens