Research on Natural Gas Daily Load Forecasting Based on Combination Model

您当前的位置：

首页 >

文章列表页 >

更新时间：2023-05-29

- Research on Natural Gas Daily Load Forecasting Based on Combination Model
- Software Guide Vol. 22, Issue 5, Pages: 29-34(2023)
- 作者机构：
  
  西安建筑科技大学管理学院，陕西西安 710055
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.212575
  CLC：
扫描看全文
邵必林,裴明洋,邓小玉.基于组合模型的天然气日负荷预测研究[J].软件导刊,2023,22(05):29-34.

SHAO Bi-lin,PEI Ming-yang,DENG Xiao-yu.Research on Natural Gas Daily Load Forecasting Based on Combination Model[J].Software Guide,2023,22(05):29-34.
邵必林,裴明洋,邓小玉.基于组合模型的天然气日负荷预测研究[J].软件导刊,2023,22(05):29-34. DOI： 10.11907/rjdk.212575.

SHAO Bi-lin,PEI Ming-yang,DENG Xiao-yu.Research on Natural Gas Daily Load Forecasting Based on Combination Model[J].Software Guide,2023,22(05):29-34. DOI： 10.11907/rjdk.212575.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Natural Gas Load Forecasting Based on RVM-GRNN Combined Model

Research on Freight Volume Prediction Based on ARIMA-BP Combination Model

Related Author

No data

Related Institution

School of Management， Xi'an University of Architecture and Technology

Business School, University of Shanghai for Science and Technology

⁰