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基于电力大数据的乡村振兴高质量发展路径研究

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该文旨在探讨基于电力大数据的乡村振兴高质量发展路径,文章首先回顾了 乡村振兴战略的背景和目标,强调了电力大数据在乡村振兴中的重要作用.通过构建"乡村振兴电力指数",该文从产业、富裕、供电、民生和绿色五个维度量化评估乡村发展情况.研究采用主成分分析和CRITIC算法确定指标权重,确保评价体系的科学性和客观性.结果表明,浙江省乡村振兴电力指数能反映出乡村能源向低碳化转型的积极趋势.文章还提出了基于电力指数的乡村振兴战略建议,为政府决策提供数据支持,助力实现乡村共同富裕.
Research on the High-Quality Development Path of Rural Revitalization Based on Big Data in Electric Power
This paper aims to explore the high-quality development path of rural revitalization based on big data in electric power.It begins by reviewing the background and goals of the rural revitalization strategy,emphasizing the significant role of big data in electric power for rural revitalization.By constructing a"Rural Revitalization Electric Power Index",this study quantitatively assesses rural development from five dimensions:industry,wealth,power supply,livelihood,and green initiatives.The research employs principal component analysis and the CRITIC algorithm to determine the weights of indicators,ensuring the scientificity and objectivity of the evaluation system.The results show that the Rural Revitalization Electric Power Index in Zhejiang Province rose from 109.6 in 2018 to 134.3 in April 2021,reflecting a positive trend towards low-carbon transformation in rural energy.The paper also proposes strategic recommendations for rural revitalization based on the electric power index,providing data support for government decision-making and helping achieve common prosperity in rural areas.

big data in electric powerrural revitalizationhigh-quality developmentelectric power indexquantitative assessment

曹俊、黄翔、王珂、杨世旺、刘洋福、黄颖

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国网浙江省电力有限公司金华供电公司,浙江金华 321000

国网浙江省电力有限公司,浙江 杭州 310000

电力大数据 乡村振兴 高质量发展 电力指数 量化评估

2024

电力大数据
贵州电力试验研究院 贵州省电机工程学会

电力大数据

影响因子:0.047
ISSN:2096-4633
年,卷(期):2024.27(9)