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基于商业智能的电网负荷预测模型的构建研究
引用本文:赵钊林.基于商业智能的电网负荷预测模型的构建研究[J].福建工程学院学报,2011,9(1):58-60.
作者姓名:赵钊林
作者单位:福建工程学院,计算机与信息科学系,福建,福州,350108
基金项目:福建省科技厅资助省属高校项目
摘    要:根据对电网负荷预测业务的分析,采用探索型数据分析方法对电力企业数据仓库中的数据进行训练建模,构建出电网负荷预测模型。模型应用情况表明:应用该模型后电力企业负荷预测较传统预测方法准确率明显提高,电力企业预测技术水平相应提高,同时,应用该模型还有助于电力企业有计划地进行用电管理,确保电力企业决策分析可行性。

关 键 词:商业智能  数据仓库  电网负荷预测

Research on the building of electric power grid load forecasting model based on business intelligence
Zhao Zhaolin.Research on the building of electric power grid load forecasting model based on business intelligence[J].Journal of Fujian University of Technology,2011,9(1):58-60.
Authors:Zhao Zhaolin
Institution:Zhao Zhaolin (Computer and Information Science Department,Fujian University of Technology,Fuzhou 350108,China)
Abstract:The forecasting work of electric power grid load was analysed.Data training of electric power enterprise data warehouse was conducted by the exploring and analysing method.An electric power grid load forecasting model was built.The results indicate that the model can improve the forecasting accuracy,raise the technical level of electric power corporation load forcast,and enhance the management of electric power consumption and decision-making.
Keywords:business intelligence  data warehouse  electric power grid load forecast  
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