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基于数据立方体的能源大数据分析

Analysis of Energy Big Data Based on Data Cube
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摘要 阐述联机分析处理OLAP技术通过多维数据立方体的数据源,基于事实数据,建立一种能够满足用户从不同角度和层级展示事物的不同特性、需求的数据库模型。探讨通过大数据分析将发掘的能源规律以多维可视化的形式展示。管理者能够直观地根据感受到的数据隐藏信息,并转化为相应的生产调度手段,从而提高能源利用率,降低能源成本。 This paper expounds that OLAP technology,through the data source of multidimensional data cube and based on the fact data,establishes a database model that can meet the different characteristics and needs of users from different angles and levels.It discusses how to display the discovered energy laws in the form of multi-dimensional visualization through big data analysis.Managers can intuitively hide information according to the perceived data,and convert it into corresponding production scheduling means,so as to improve energy utilization and reduce energy costs.
作者 刘宁宁 LIU Ningning(Guangdong Energy Group Co.,Ltd.,Guangdong 510620,China)
出处 《集成电路应用》 2022年第12期366-368,共3页 Application of IC
关键词 大数据分析 联机分析处理 数据库模型 big data analysis online analytical processing database model
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  • 1邹逸江,李德仁,王任享.空间数据立方体分析操作原理[J].武汉大学学报(信息科学版),2004,29(9):822-826. 被引量:16
  • 2潘东静.基于OLAP的多维分析模型设计及应用[J].德州学院学报,2004,20(6):55-58. 被引量:6
  • 3STEFANOVIC N,HAN J W. Object - based selective materialization for effcient implementation of spatial data cubes[J]. IEEE Transactions on Knowledge and Data Engineering,2000,12(6): 1 - 21. 被引量:1
  • 4SHEKHAR S,TAN X. Map Cube:A Visualization Tool for Spatial Data Warehouses. http://www.cs.umn.edu/research/shashi-group/,2005. 被引量:1
  • 5ZHOU X F, HAN J W. Efficient Polygon Amalgamation Methods for Spatial OLAP and Spatial Data Mining[C]. USA: Sixth SSD,1999.121-125. 被引量:1
  • 6PAPADIAS D. Efficient OLAP Operations in Spatial Data Warehouses[R]. HongKong: Technical Report HKUST - CS01 - 01,2001.65-69. 被引量:1
  • 7KAMP V, SITZMANN L. A Spatial Data Cube Concept to Support Data Analysis in Environmental Epidemiology [C]. Canada:Proc Ninth SSDBM' 97,1997. 234 - 238. 被引量:1
  • 8WANG B Y, PAN F. Efficient OLAP Operations for Spatial Data Using Peano Trees[C]. San Diego:DMKD'03,2003. 126 - 130. 被引量:1
  • 9PRASHER S, ZHOU X F. Multi - Resolution Amalgamation: Dynamic Spatial Data Cube Generation[C]. Dunedin: 15th Australasian Database Conference(ADC2004), Conference in Research and Practice in Information Technology,2004. 345 - 349. 被引量:1
  • 10RAUBER A, TOMSICK P, RIEDEL H, et al. Integration Geo-Spatial Data into OLAP Systerm Using a Set - Based Quad - Tree Representation[C]. Canada: Pine Ninth SSDBM'97,1997.256-260. 被引量:1

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