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- W4317383354 abstract "With the further opening of the electricity market, it is urgent to provide better service for electricity users. The digital marketing technology based on electricity user portrait is proposed in this paper, which provides differentiated services for electricity users and achieves accurate marketing. Five indexes, i.e., daily electricity consumption, daily valley-to-peak, seasonal fluctuation, electricity arrears rate, and electricity price sensitivity, are extracted to realize a multi-dimensional electricity user portrait. The K-means algorithm is applied to obtain these typical electricity user portraits, which is the cluster center. According to the characteristics of typical electricity user portraits, differentiated marketing strategies are proposed. Then, through calculating the Euclidean distance between the data of electricity user and the cluster center, its portrait result and optimal service are quickly obtained, realizing marketing digitization. Finally, a numerical case is analyzed to verify the availability and superiority of the proposed method." @default.
- W4317383354 created "2023-01-19" @default.
- W4317383354 creator A5008728975 @default.
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- W4317383354 date "2022-12-11" @default.
- W4317383354 modified "2023-09-23" @default.
- W4317383354 title "Digital Marketing Technology Based on Electricity User Portrait and K-means Clustering Algorithm" @default.
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- W4317383354 doi "https://doi.org/10.1109/tocs56154.2022.10015996" @default.
- W4317383354 hasPublicationYear "2022" @default.
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