Short Term Power Network Gateway Load Forecasting Algorithm Based on ARMR Model

摘要：

　　In order to achieve the real-time monitoring of the purchase and sale of electricity,the system has a high demand on efficiency of data,but the data of the field power gateway lost frequently,resulting in the interruption of data,and the accuracy and rationality of real-time monitoring and analysis of the purchase and sale of electricity business will be affected.In order to fill the missing data,this paper presents a short term load forecasting algorithm based on ARMR model,and verifies that the relative error is small,the fitting result is more accurate,and it has higher application value.

关键词： Real-time monitoring missing data ARMR short-term load forecasting

作者: Shaoguang Yuan Lei Yang Bingbing Shang Xiaolei Li Hongshan Zhang

作者单位: State Grid Henan Electric Power Research Institute Zhengzhou,China Henan EPRI Hitech Group Company Zhengzhou,China Henan EPRI Hitech Group Company Zhengzhou State Grid Henan Electric Power Company Zhengzhou,China

会议类型: 国际会议

会议名称: 2016IEEE第二届信息技术、网络、电子及自动化控制会议

会议地点: 重庆

会议语种:英文

页码: 497-501

在线出版日期: 2016-03-20（万方平台首次上网日期，不代表论文的发表时间）