Research on Pre Processing and Cleaning Technology of Electricity Data Based on DBSCAN Algorithm
With the development of smart grids,data quality issues in smart electricity networks,such as data loss,errors,and anomalies,seriously affect the accuracy of data analysis.The article uses data standardization,missing value processing,and DBSCAN algorithm for data cleaning to improve data quality and ensure the accuracy and reliability of subsequent data analysis.The research results indicate that the application of these technologies not only improves data quality,but also provides technical support for the further development of smart grids.
data preprocessingdata cleaningsmart gridDBSCAN algorithm
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