E3S Web Conf.
Volume 251, 20212021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|Number of page(s)||4|
|Section||Analysis of Energy Industry Economy and Consumption Structure Model|
|Published online||15 April 2021|
Forecast Research on the Proportion of Clean Energy Consumption in Total Energy Consumption Based on GM(1,1) Model
Department of Marketing, Chongqing Technology and Business University, Nanan, Chongqing, China
* Corresponding author: firstname.lastname@example.org
Clean energy can not only alleviate environmental problems but also contribute to rapid and sustainable development. The gray system is based on the sequence operator to process the original data and mine the law of change. GM(1,1) is a specific method of mining data, by building a GM(1,1) model to accumulate and generate data, the randomness of the data can be weakened and its regularity can be revealed. Here we use the GM(1,1) model to dynamically predict the future consumption rate of clean energy. This research not only provides data support for China’s green development, but also provides suggestions for improvement based on actual conditions.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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