Denoising Autoencoder-Based Missing Value Imputation for Smart Meters

Denoising Autoencoder-Based Missing Value Imputation for Smart Meters

Electric load data are essential for data-driven approaches (including deep learning) in smart grid, and advanced smart meter technologies provide fine-grained data with reliable communications. Despite the recent development of smart metering devices, however, missing data still arise due to unexpe...

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Bibliographic Details
Main Authors: Seunghyoung Ryu, Minsoo Kim, Hongseok Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
smart grid
missing imputation
smart meters
denoising autoencoder
generative model
Online Access:https://ieeexplore.ieee.org/document/9016055/

Internet

https://ieeexplore.ieee.org/document/9016055/

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