Enformer: Encoder-Based Sparse Periodic Self-Attention Time-Series Forecasting

Enformer: Encoder-Based Sparse Periodic Self-Attention Time-Series Forecasting

Time-series forecasting makes reasonable prediction and planning on stock forecast, traffic flow, power consumption and extreme weather warning through the correlation characteristics of its own multi-dimensional data and time. The proposed Transformer structure in natural language processing is pro...

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Bibliographic Details
Main Authors: Na Wang, Xianglian Zhao
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Time-series forecasting
transformer
self-attention
encoder
Online Access:https://ieeexplore.ieee.org/document/10274070/

Internet

https://ieeexplore.ieee.org/document/10274070/

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