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Forecasting and Analysis of Energy Consumption in China
Author(s) -
Lei Gao
Publication year - 2022
Publication title -
frontiers in business, economics and management
Language(s) - English
Resource type - Journals
ISSN - 2766-824X
DOI - 10.54097/fbem.v3i2.257
Subject(s) - china , energy consumption , energy conservation , consumption (sociology) , economics , environmental economics , energy (signal processing) , econometrics , economy , natural resource economics , engineering , geography , mathematics , statistics , sociology , social science , electrical engineering , archaeology
Energy is essential to the development of an economy and society. In recent years, China's rapid economic development has created the "China Miracle", but it has also led to a sharp increase in energy consumption in China. To ensure the achievement of the ambitious goal of reaching the carbon peak by 2030, it is of great significance to study the total energy consumption in China in order to promote the national energy conservation and emission reduction actions. This paper constructs models GM(1,1), DGM(1,1), and gray Verhulst model based on the original data of China's total energy consumption from 2001 to 2020, and constructs a combined forecasting model by the least squares method to make an economic forecast of China's energy consumption in the next five years. It provides a theoretical basis for making a reasonable energy planning.

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