Grouped multivariate regression method of short-term load forecasting based on deep learning TensorFlow platform

摘要：

　　With the increasing of power collecting data and meteorological data types,the accuracy of short-term load forecasting of intelligent power grid dispatching system can be improved.In order to better explore the relationship between relevant information,we research and adopt grouped multivariate regression model and deep learning platform TensorFlow by utilizing the actual load data of a region of the State Grid Cooperation of China.With comparison to actual load data,the results shows that the proposed method has higher forecasting accuracy.It is feasible in practical application.

关键词： Short-term load forecasting (STLF) Grouped multivariate regression model TensorFlow Forecasting Accuracy (FA)

作者: Jixiang LU Liyan XU Mengfu TU Maoya SHEN Mingyu ZHAI

作者单位: NARI Technology Co.,Ltd.,No 19.Chengxin Ave.Nanjing,211106,Jiangsu,China NARI Technology Co.,Ltd.,No 19.Chengxin Ave.Nanjing,211106,Jiangsu,China;State Key Laboratory of Int

会议类型: 国内会议

会议名称: “紫金论电”2017智能电网保护和运行控制国际学术研讨会

会议地点: 南京

会议语种:英文

页码: 231-238

在线出版日期: 2017-08-12（万方平台首次上网日期，不代表论文的发表时间）