Charging pile charging quantity prediction method based on user charging behavior clustering

A charging pile charging quantity prediction method of an improved LSTM-TCN model based on user charging behavior clustering comprises the following steps: collecting charging order data of a charging pile, and preprocessing the charging order data; performing K-Means clustering analysis on the char...

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Bibliographische Detailangaben

Hauptverfasser:	ZHANG CHENGHAO, ZHANG TAO, LIU YIZHOU, XU YANCHUN, LI ZHENHUA, LI ZHENXING, ZHANG WENTING, CHENG ZIJUAN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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