基于多维聚类算法的高效电力营销策略评价方法

Q3 Environmental Science
Chang Da, Tianyi Zhang, Guohan Ma, Jingfeng Wang, Ruochen Liu
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引用次数: 0

摘要

在电力系统中,电力营销是一项非常重要的工作。如何评价目前使用的电力营销策略是否有效和有用一直是电力系统最关心的问题。本文提出了一种基于多维聚类算法的高效电商营销策略评价方法,旨在通过大数据手段评估新政策对企业是否具有激励效应。首先,我们使用大数据对动机用户进行分组,然后分析个性化营销和重点营销对目标客户群的影响。在现有营销方法的基础上,分析了不同目标群体的影响,最后通过两个实验验证了所提出方法的可行性。在实验1中选取的A和B公司中,预测值和实际值的平均误差分别为1.4%和1.2%。对于实验2中选取的C区域的12个行业,预测值与实际值的平均误差为0.55%。实验结果表明,本文提出的方法具有一定的适用性。本文的方法可以应用到供电企业的营销过程中,并提出相应的促销策略,有助于提高供电企业的管理水平,增加供电企业的经济收入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation Method of Efficient Power Marketing Strategy Based on Multi-dimensional Clustering Algorithm
In the power system, power marketing is a very important work. How to evaluate whether the currently used power marketing strategy is efficient and useful has always been the most important concern of the power system. This paper proposes an efficient electricity marketing strategy evaluation method based on multi-dimensional clustering algorithm, aiming to evaluate whether a new policy has an incentive effect on enterprises through the means of big data. First, we use big data to group motivated users, and then analyze the effect of personalized marketing and key marketing on target customer groups. Based on the existing marketing methods, the influence of different target groups is analyzed, and finally the feasibility of the proposed method is verified through two experiments. In the A and B companies selected in Experiment 1, the average errors of the predicted value and the actual value are 1.4% and 1.2%, respectively. For the 12 industries in the C area selected in experiment 2, the average error between the predicted value and the actual value is 0.55%. Both experiments show that the method proposed in this paper has certain applicability. The method in this paper can be applied to the marketing process of the power supply company, and the corresponding promotion strategy is put forward, which is helpful to improve the management level of the power supply enterprise and increase the economic income of the power supply enterprise.
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来源期刊
Strategic Planning for Energy and the Environment
Strategic Planning for Energy and the Environment Environmental Science-Environmental Science (all)
CiteScore
1.50
自引率
0.00%
发文量
25
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