基于灰色关联分析法对能源的合理配置c
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国家自然科学基金(1131011); 国家级大学生创新训练计划(201510378470);安徽财经大学科研项目:数学建模竞赛引 领大学生科研创新的研究(acjyzd201429)。


Rational Allocation of Energy Based on the Grey Correlation Analysis
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    目的:研究能源分配在实际中运用的问题。方法:结合MATLAB、SPSS、EXCEL 等软件,建立聚类分析、灰色关联分析、 多元逐步回归、组合选择等模型,研究得出了城市工业企业发展水平和能源总量控制下的最优能源分配方案。结果:轻工业及 其他、机械和设备制造、金属制造、电力燃气及水生产、采矿及制造业、化工的灰色关联度分别为0.640 9、0.517 9、0.467 0、0.485 8、0.545 1、0.777 8。结论:能源分配在总能耗下降时,需要增加轻工业等低能耗产业,减少金属制造等高能耗产业;在能耗总量 下降、现价产值上升时,需要增加轻工业及其他和化工的能源,减少其他行业的能源。

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    This paper studies the application of energy allocation in actual use by clustering analysis, grey correlation analysis, multivariate stepwise regression and the portfolio selection model, using MATLAB, SPSS and EXCEL software to solute the problems. From these researches, the best way of energu allocation of the urban industrial enterprise development level is found. It is showed that light industry and other, machinery and equipment manufacturing, metal manufacturing, power gas and water production, mining and manufacturing, chemical gray correlation degrees were 0.6409, 0.5179, 0.4670, 0.4858, 0.5451, and 0.7778. When the total energy consumption is reduced, it is necessary to increase the low energy consumption industries such as light industry and reduce the high energy consumption industries such as metal manufacturing. When the total energy consumption is reduced and the current value of output is increased, it is necessary to increase the energy of light industry and other chemical industries and reduce the energy of other industries.

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谢钱姣,陆玉玲,杨鹏辉*,李德政.基于灰色关联分析法对能源的合理配置c[J].西昌学院学报(自然科学版),2017,31(2):21-25.

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  • 在线发布日期: 2017-09-13