基于径向基函数神经网络的珠三角城市群能源消费绿色发展评价

IF 2.6 4区工程技术 Q3 ENERGY & FUELS

IET Renewable Power Generation Pub Date : 2024-11-03 DOI:10.1049/rpg2.13122

Xin-yun Ye, Yi-sha Huan, Hui Xu

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引用次数: 0

摘要

利用RBF神经网络模型对珠江三角洲城市群绿色发展水平进行了评价，结果表明，2005 - 2020年珠三角城市群绿色发展水平总体呈上升趋势，但城市间差异显著。该模型熟练地处理了城市绿色发展中复杂的相互作用，提供了对综合影响的见解，并有助于政策评估和优化。为城市规划者和决策者提供数据驱动支持，增强决策的科学性和稳定性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network

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Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network

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.

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来源期刊

IET Renewable Power Generation 工程技术-工程：电子与电气

CiteScore

6.80

自引率

11.50%

发文量

268

审稿时长

6.6 months

期刊介绍： IET Renewable Power Generation (RPG) brings together the topics of renewable energy technology, power generation and systems integration, with techno-economic issues. All renewable energy generation technologies are within the scope of the journal. Specific technology areas covered by the journal include: Wind power technology and systems Photovoltaics Solar thermal power generation Geothermal energy Fuel cells Wave power Marine current energy Biomass conversion and power generation What differentiates RPG from technology specific journals is a concern with power generation and how the characteristics of the different renewable sources affect electrical power conversion, including power electronic design, integration in to power systems, and techno-economic issues. Other technologies that have a direct role in sustainable power generation such as fuel cells and energy storage are also covered, as are system control approaches such as demand side management, which facilitate the integration of renewable sources into power systems, both large and small. The journal provides a forum for the presentation of new research, development and applications of renewable power generation. Demonstrations and experimentally based research are particularly valued, and modelling studies should as far as possible be validated so as to give confidence that the models are representative of real-world behavior. Research that explores issues where the characteristics of the renewable energy source and their control impact on the power conversion is welcome. Papers covering the wider areas of power system control and operation, including scheduling and protection that are central to the challenge of renewable power integration are particularly encouraged. The journal is technology focused covering design, demonstration, modelling and analysis, but papers covering techno-economic issues are also of interest. Papers presenting new modelling and theory are welcome but this must be relevant to real power systems and power generation. Most papers are expected to include significant novelty of approach or application that has general applicability, and where appropriate include experimental results. Critical reviews of relevant topics are also invited and these would be expected to be comprehensive and fully referenced. Current Special Issue. Call for papers: Power Quality and Protection in Renewable Energy Systems and Microgrids - https://digital-library.theiet.org/files/IET_RPG_CFP_PQPRESM.pdf Energy and Rail/Road Transportation Integrated Development - https://digital-library.theiet.org/files/IET_RPG_CFP_ERTID.pdf