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Bidirectional time convolution network architecture.

Bidirectional time convolution network architecture.

<p>Bidirectional time convolution network architecture.</p>

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Bibliographic Details
Main Author: Yin Luo (160903) (author)
Other Authors: Chaofan Guo (20595965) (author), Minfeng Pan (22056996) (author), Hong Zhou (29614) (author)
Published: 2025
Subjects:
Biotechnology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
winged kite algorithm
variational mode decomposition
temporal pattern learning
sequential pattern learning
range temporal dependencies
power load forecasting
optimizing energy consumption
model &# 8217
local feature extraction
improving signal representation
enhance feature extraction
deep neural networks
advanced sequence modeling
emphasize critical features
ablation study highlights
critical roles
ablation studies
stationary nature
rmse ).
results demonstrate
reducing noise
industrial environments
including comparisons
highly nonlinear
future research
findings underscore
extensive experiments
enhancing generalization
enhancing efficiency
decomposed signals
attention mechanism
art models
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