Based on the analysis of the connotation of line loss prediction in smart grid substations,a smart grid substation line loss prediction system based on big data analysis was designed. The system uses Hadoop and Spark to build a high-performance computing platform,and through data mining and machine learning techniques,achieves accurate estimation and trend prediction of line losses in the substation area. System testing shows that the LSTM model performs the best in multi time scale line loss prediction tasks,with monthly,daily,and hourly MAPE controlled within 1.25％,2.93％,and 6.18％,respectively,effectively guiding lean management of distribution networks.
维普
万方数据