Multivariate Extreme Learning Machine Based AutoEncoder for Electricity Consumption Series Clustering

Multivariate Extreme Learning Machine Based AutoEncoder for Electricity Consumption Series Clustering

Multivariate electricity consumption series clustering can reflect the trend of power consumption changes in the past time period, which can provide reliable guidance for electricity production. The dimensionality reduction-based method is an effective technology to address this problem, which obtai...

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Bibliographic Details
Main Authors: Kaihong Zheng, Jingfeng Yang, Qihang Gong, Shangli Zhou, Lukun Zeng, Sheng Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Extreme learning machine
representation learning
multivariate time series clustering
electricity consumption clustering
Online Access:https://ieeexplore.ieee.org/document/9592769/

Internet

https://ieeexplore.ieee.org/document/9592769/

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