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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Bibliographic Details
Published in:	Applied sciences Vol. 11; no. 16; p. 7625
Main Authors:	Li, Hua, Hu, Bo, Liu, Yubo, Yang, Bo, Liu, Xuefang, Li, Guangdi, Wang, Zhenyu, Zhou, Bowen
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2021
Subjects:	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 Access:	Get full text
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