Analysis of Guangdong Energy Demand Forecast Based on DIP-REM Model

Analysis of Guangdong Energy Demand Forecast Based on DIP-REM Model

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 econ...

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Main Author: Zhang Yuan
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/28/e3sconf_pgsge2021_03052.pdf
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spelling doaj-a9c4f3a08323403c97af728fe6e91ce82021-05-04T12:19:45ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012520305210.1051/e3sconf/202125203052e3sconf_pgsge2021_03052Analysis of Guangdong Energy Demand Forecast Based on DIP-REM ModelZhang Yuan0Nanfang College of Sun Yat-sen UniveristyComputer 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/28/e3sconf_pgsge2021_03052.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Zhang Yuan
spellingShingle Zhang Yuan
Analysis of Guangdong Energy Demand Forecast Based on DIP-REM Model
E3S Web of Conferences
author_facet Zhang Yuan
author_sort Zhang Yuan
title Analysis of Guangdong Energy Demand Forecast Based on DIP-REM Model
title_short Analysis of Guangdong Energy Demand Forecast Based on DIP-REM Model
title_full Analysis of Guangdong Energy Demand Forecast Based on DIP-REM Model
title_fullStr Analysis of Guangdong Energy Demand Forecast Based on DIP-REM Model
title_full_unstemmed Analysis of Guangdong Energy Demand Forecast Based on DIP-REM Model
title_sort analysis of guangdong energy demand forecast based on dip-rem model
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description 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.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/28/e3sconf_pgsge2021_03052.pdf
work_keys_str_mv AT zhangyuan analysisofguangdongenergydemandforecastbasedondipremmodel
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