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。
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.
出处
《福建工程学院学报》
CAS
2011年第1期58-60,共3页
Journal of Fujian University of Technology
基金
福建省科技厅资助省属高校项目(2008F50105)
关键词
商业智能
数据仓库
电网负荷预测
business intelligence
data warehouse
electric power grid load forecast