| Issue |
E3S Web Conf.
Volume 252, 2021
2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|
|
|---|---|---|
| Article Number | 03052 | |
| Number of page(s) | 6 | |
| Section | Energy Technology Research and Development and Green Energy-Saving Applications | |
| DOI | https://doi.org/10.1051/e3sconf/202125203052 | |
| Published online | 23 April 2021 | |
Analysis of Guangdong Energy Demand Forecast Based on DIP-REM Model
Nanfang College of Sun Yat-sen Univeristy, Conghua, Guangzhou, Guangdong, China
* email: zysysu@163.com
Computer data mining technology has a positive impact on the accurate prediction of China's energy demand. In order to effectively alleviate the energy crisis that China is currently facing, and further forecast the energy demand, it will provide an active driving force for the sustainable economic development of our country in the future. In this study, the authors studied the current energy use trends in China, and then the authors used the DIP-REM model to predict their future development needs based on a study of the use of energy resources in Guangdong Province. This model can accurately predict the future energy expansion value of Guangdong Province. The research aims to provide a reference for related research on China's energy demand forecast.
© 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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