Power Consumption Predicting and Anomaly Detection Based on Transformer and K-Means

Power Consumption Predicting and Anomaly Detection Based on Transformer and K-Means

With the advancement of technology and science, the power system is getting more intelligent and flexible, and the way people use electric energy in their daily lives is changing. Monitoring the condition of electrical energy loads, particularly in the early detection of aberrant loads and behaviors...

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Bibliographic Details
Main Authors:	Junfeng Zhang, Hui Zhang, Song Ding, Xiaoxiong Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-10-01
Series:	Frontiers in Energy Research
Subjects:	power consumption prediction anomaly detection transformer K-means LSTM
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2021.779587/full

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