Short term power network gateway load forecasting algorithm based on ARMR model

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.