Energy System Time Series Data Quality Maintenance System Based on Data Mining Technology

With improvement of science and technology, energy system becomes more intelligent and data scale becomes larger, so an efficient and reliable quality data management has implications for energy system. This paper proposes a grid time series data quality maintenance system based on data mining technology. In view of different characteristics of data structure in different systems, decision tree algorithm and data outlier detection methods are combined to improve efficiency of data detection while quickly locating issue type, which is convenient for data repair and improvement.