Modeling, prediction and analysis of natural gas consumption in China using a novel dynamic nonlinear multivariable grey delay model

Author:

Qin Fuli,Tong Mingyu,Huang Ying,Zhang Yubo

Funder

Humanities and Social Science Fund of Ministry of Education of the People's Republic of China

Natural Science Foundation Project of Chongqing

Publisher

Elsevier BV

Reference54 articles.

1. International Energy Agency (IEA), World energy outlook 2022, outlook-2022" title="https://www.iea.org/reports/world-energy- outlook-2022">https://www.iea.org/reports/world-energy- outlook-2022..

2. Predicting monthly natural gas production in China using a novel grey seasonal model with particle swarm optimization;Li;Energy,2021

3. Predicting the production and consumption of natural gas in China by using a new grey forecasting method;Lao;Math Comput Simulat,2022

4. A shale gas production prediction model based on masked convolutional neural network;Zhou;Appl Energy,2024

5. An outlook analysis on China's natural gas consumption forecast by 2035: applying a seasonal forecasting method;Xu;Energy,2023

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