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Study on the Development of U.S. Intercontinental Alliance Clean Renewable Energy Based on CA-DEA Model

机译:基于CA-DEA模型的美国洲际联盟清洁可再生能源发展研究

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This paper establishes a data envelopment analysis model to assess the sustainable development of energy in each state. At the same time, we use the principal component analysis method to select renewable energy indicators and form an evaluation system. Calculate and rank the clean renewable energy development index for each state and assess the development of clean energy in the four states. At the same time, we use the Corresponding analysis method, taking time and selected indicators as variables, and conducted a differentiated analysis of the development of energy indicators at each stage. Through a comprehensive analysis of indicators and factors such as the population, the geography, the climate, the industry, etc., we compared the development of each state, determined the choice of the best development area, and the similarities and differences between the development forecasts of the states in 2025 and 2050, and formulated proposal for faster and more effective development of the Intercontinental Union.
机译:本文建立了一个数据包络分析模型,以评估每个州的能源可持续发展。同时,我们采用主成分分析法选择可再生能源指标,形成评价体系。计算每个州的清洁可再生能源发展指数并对其进行排名,并评估四个州的清洁能源发展。同时,我们采用相应的分析方法,以时间和选定指标为变量,对各个阶段的能源指标发展进行了差异分析。通过对人口,地理,气候,工业等指标和因素的综合分析,我们比较了每个州的发展情况,确定了最佳发展区的选择,以及发展之间的异同对2025年和2050年各州的预测,并制定了有关提案,以更快,更有效地发展洲际联盟。

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