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...
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: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1329376/full |
Similar Items
-
The impact of factors on GDP in Kyrgyzstan
by: Zheirenova Azima, et al.
Published: (2023-01-01) -
The dynamics of GDP growth in Kazakhstan
by: Л. Н. Maхмеджанова, et al.
Published: (2016-05-01) -
ANALYSIS OF THE GDP IN THE REPUBLIC OF MOLDOVA BASED ON MAJOR MACROECONOMIC INDICATORS
by: Ştefan Cristian CIUCU
Published: (2014-05-01) -
The analysis of the quarterly evolution of the gross domestic product in 2019
by: Constantin ANGHELACHE, et al.
Published: (2020-03-01) -
quarters
by: Elena Grigoryeva
Published: (2020-08-01)