Abstract
Power industry is one of the important fields in the application of big data technology. Power big data is generated in every link of power production and contains rich commercial and social values. It is necessary to implement the analysis of electric power user behavior based on big data technology. This paper presents a comprehensive study on the analysis of power user behavior based on big data. The characteristics and application challenges of electric power big data are first introduced, followed by the extraction of power user side big data processing mode. Finally, this paper focuses on the main methods of data mining and analysis and discusses the clustering analysis algorithms to make better analysis of electric power user behavior.
Published Version
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