标题:
基于熵权理论与灰色定权聚类法的企业电力能效评估模型研究与应用The Research and Application of Enterprise Power Efficiency Evaluation Model Based on Entropy Weight Theory and Grey Fixed-Weight Clustering Method
作者:
俆一铭, 耿芳远, 薛欣科, 徐明磊, 朱文, 郭恩磊, 吴杰
关键字:
电力能效评估, 熵权理论, 灰色定权聚类法, 指标权重定量化, 节能降耗Power Efficiency Evaluation, Entropy Theory, Grey Fixed-Weight Clustering Method, Quantifying the Index Weight, Saving Energy and Reducing Consumption
期刊名称:
《Transmission and Distribution Engineering and Technology》, Vol.4 No.3, 2015-09-10
摘要:
本文通过采用熵权理论和灰色定权聚类法相结合的企业电力能效评估模型，对企业电力能效的评估方法进行研究与应用。文章先对电力能效评估模型建立指标权重的过程进行了系统分析，又通过灰色定权聚类法对能效综合评估模型的建模过程进行分析，从而建立了一种对企业电力能效进行系统评估的方法。该方法不仅科学地处理了指标权重在定量化过程中主观判断的问题，而且以企业聚类系数最大化为出发点，充分利用了各指标数据已有的客观信息及隐含的灰色特性，对指标进行综合治理，得到各个企业的电力能效状况，从而为企业的节能降耗提供很好的依据。本文最后还以三家企业为评估对象，对三家企业的电力能效进行了详细的建模分析，验证了该方法的可行性。
By using the enterprise power efficiency evaluation model based on entropy theory and grey fixed-weight clustering method, this article studies and applies a method of enterprise power efficiency evaluation. Firstly the author analyzes the process of how the index weight of power efficiency evaluation model is established, and then analyzes the process of modeling the comprehensive power efficiency evaluation based on grey fixed-weight clustering method. Accordingly, a method to systematically evaluate the enterprise power efficiency is established. This method not only has scientifically dealt with the problem—subjective judgment in the process of quantifying the index weight, but also makes full use of the index data of the existing objective information and the implicit grey characteristics to maximize the enterprise clustering coefficient. Meanwhile, this method can also comprehensively process the various indexes, and figure out the precise power efficiency of each enterprise to provide a good basis of saving energy and reducing consumption for the enterprise evaluated. Finally, this article, taking the evaluative object of three companies as basis, models and analyzes these three companies’ power efficiency, and verifies the feasibility of the method.