Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network
Abstract The study utilizes the RBF neural network model to evaluate the green development of the Pearl River Delta urban agglomeration, revealing a consistent increase in development levels from 2005 to 2020 despite notable inter‐city variations. The model adeptly handles complex interactions withi...
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Format: | Article |
Language: | English |
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Wiley
2024-12-01
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Series: | IET Renewable Power Generation |
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Online Access: | https://doi.org/10.1049/rpg2.13122 |
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author | Xin‐yun Ye Yi‐sha Huan Hui Xu |
author_facet | Xin‐yun Ye Yi‐sha Huan Hui Xu |
author_sort | Xin‐yun Ye |
collection | DOAJ |
description | Abstract The study utilizes the RBF neural network model to evaluate the green development of the Pearl River Delta urban agglomeration, revealing a consistent increase in development levels from 2005 to 2020 despite notable inter‐city variations. The model adeptly handles complex interactions within urban green development, offering insights into comprehensive impacts and aiding in policy evaluation and optimization. It provides urban planners and decision‐makers with data‐driven support, enhancing the scientific basis and stability of policy‐making. |
format | Article |
id | doaj-art-b68b43b8fc2d4eecb344ecf721057c53 |
institution | Kabale University |
issn | 1752-1416 1752-1424 |
language | English |
publishDate | 2024-12-01 |
publisher | Wiley |
record_format | Article |
series | IET Renewable Power Generation |
spelling | doaj-art-b68b43b8fc2d4eecb344ecf721057c532025-01-30T12:15:53ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118163659367710.1049/rpg2.13122Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural networkXin‐yun Ye0Yi‐sha Huan1Hui Xu2School of Business AdministrationResearch Institute of Innovation Competitiveness of Guangdong, Hong Kong and Macao Bay Area,Guangdong University of Finance and EconomicsGuangzhou ChinaSchool of Innovation and EntrepreneurshipGuangzhou Institute of Science and TechnologyGuangzhouChinaSchool of Digital Economy and ManagementSoftware Engineering Institute of GuangzhouGuangzhouChinaAbstract The study utilizes the RBF neural network model to evaluate the green development of the Pearl River Delta urban agglomeration, revealing a consistent increase in development levels from 2005 to 2020 despite notable inter‐city variations. The model adeptly handles complex interactions within urban green development, offering insights into comprehensive impacts and aiding in policy evaluation and optimization. It provides urban planners and decision‐makers with data‐driven support, enhancing the scientific basis and stability of policy‐making.https://doi.org/10.1049/rpg2.13122energy consumptionenergy management systems |
spellingShingle | Xin‐yun Ye Yi‐sha Huan Hui Xu Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network IET Renewable Power Generation energy consumption energy management systems |
title | Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network |
title_full | Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network |
title_fullStr | Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network |
title_full_unstemmed | Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network |
title_short | Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network |
title_sort | evaluation of green development of energy consumption in the pearl river delta urban agglomeration based on radial basis function neural network |
topic | energy consumption energy management systems |
url | https://doi.org/10.1049/rpg2.13122 |
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