Forecasting China's renewable energy consumption using a novel dynamic fractional-order discrete grey multi-power model-Reference-Cited by-同舟云学术

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Forecasting China's renewable energy consumption using a novel dynamic fractional-order discrete grey multi-power model

Published:2024-10 Issue: Volume:233 Page:121125
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Xia Lin,Ren Youyang,Wang Yuhong^ORCID,Pan Yangyang,Fu Yiyang

Publisher

Elsevier BV

Reference60 articles.

1. BP Statistical Review of World Energy 2023,2023

2. Can Chinese cities reach their carbon peaks on time? Scenario analysis based on machine learning and LMDI decomposition;Sun;Appl. Energy,2023

3. A non-linear systematic grey model for forecasting the industrial economy-energy-environment system;Wang;Technol. Forecast. Soc. Change,2021

4. Accurate forecasts and comparative analysis of Chinese CO2 emissions using a superior time-delay grey model;Ding;Energy Econ.,2023

5. A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic;Zhang;Energy Convers. Manag.,2020

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