Electric Load Data Compression and Classification Based on Deep Stacked Auto-Encoders

Electric Load Data Compression and Classification Based on Deep Stacked Auto-Encoders

With the development of advanced metering infrastructure (AMI), electrical data are collected frequently by smart meters. Consequently, the load data volume and length increase dramatically, which aggravates the data storage and transmission burdens in smart grids. On the other hand, for event detec...

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Bibliographic Details
Main Authors: Xiaoyao Huang, Tianbin Hu, Chengjin Ye, Guanhua Xu, Xiaojian Wang, Liangjin Chen
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Energies
Subjects:
big data
smart meter
compression
classification
deep learning
Stacked Auto-Encoder (SAE)
Online Access:https://www.mdpi.com/1996-1073/12/4/653

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https://www.mdpi.com/1996-1073/12/4/653

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