Quarterly GDP forecast based on coupled economic and energy feature WA-LSTM model

Quarterly GDP forecast based on coupled economic and energy feature WA-LSTM model

Existing macroeconomic forecasting methods primarily focus on the characteristics of economic data, but they overlook the energy-related features concealed behind these economic characteristics, which may lead to inaccurate GDP predictions. Therefore, this paper meticulously analyzes the relationshi...

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Bibliographic Details
Main Authors: Yaling Zhang, Wenying Shang, Na Zhang, Xiao Pan, Bonan Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Energy Research
Subjects:
quarterly GDP prediction
wavelet analysis
deep learning
cross-validation
macroeconomic variables
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1329376/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1329376/full

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