Classification of Electricity Consumption Behavior Based on Improved K-Means and LSTM

Power big data-based artificial intelligence or data mining methods, which can be used to analyze electricity consumption behavior, have been widely applied to provide targeted marketing services for electricity consumers. However, the traditional clustering algorithm has difficulty in judging new e...

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Veröffentlicht in:	Applied sciences Jg. 11; H. 16; S. 7625
Hauptverfasser:	Li, Hua, Hu, Bo, Liu, Yubo, Yang, Bo, Liu, Xuefang, Li, Guangdi, Wang, Zhenyu, Zhou, Bowen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.08.2021
Schlagworte:	Algorithms Behavior Big Data Classification Cluster analysis Clustering deep neural network Electricity electricity consumption behavior Forecasting improved k-means algorithm Load LSTM Methods Neural networks power big data Principal components analysis
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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