Multiscale-attention masked autoencoder for missing data imputation of wind turbines-Reference-Cited by-同舟云学术

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Multiscale-attention masked autoencoder for missing data imputation of wind turbines

Published:2024-09 Issue: Volume:299 Page:112114
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Fan Yuwei^ORCID,Feng Chenlong^ORCID,Wu Rui,Liu Chao^ORCID,Jiang Dongxiang

Publisher

Elsevier BV

Reference55 articles.

1. The attention-assisted ordinary differential equation networks for short-term probabilistic wind power predictions;Liu;Appl. Energy,2022

2. Wind power curve modeling and wind power forecasting with inconsistent data;Wang;IEEe Trans. Sustain. Energy,2019

3. Power curve monitoring using weighted moving average control charts;Cambron;Renew. Energy,2016

4. Wind turbine blade breakage monitoring with deep autoencoders;Wang;IEEE Trans. Smart Grid,2018

5. A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management;Kandukuri;Renew. Sustain. Energy Rev.,2016

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