基于大数据的电能替代潜力用户识别模型

doi:10.11959/j.issn.1000-0801.2019030

Abstract

Abstract:

The implementation of electric energy substitution plays an important role in promoting the development of energy conservation and emission reduction in China.Firstly,the user clustering model of the same industry was introduced,then the user identification model of electric energy substitution potential was studied.Finally,an industry user was selected for instance verification.The results show that the model can effectively predict the user’s energy substitution potential.

Key words: power substitution, feature analysis, neural network, potential identification

CLC Number:

TM72.1

Huaijian XIA,Wen ZHAGN,Sujin JIA,Haiying LIN,Xinfang HE. Power substitution potential user identification model based on big data[J]. Telecommunications Science, 2019, 35(2): 142-146.

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References 16

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指标	聚类为4	聚类为5	聚类为6	聚类为7
Q₁	0.78	0.7	0.56	0.45
Q₂	0.47	0.49	0.46	0.44
Q₃	0.83	0.79	0.71	0.71
Q	0.417	0.431	0.408	0.405

聚类分类	A类	B类	C类	D类	E类
潜力电量/万kW·h	8.5	26.5	1.08	16.5	3.8

聚类分类	A类	B类	C类	D类	E类
潜力电量/万kW·h	8.5	26.5	1.08	16.5	3.8
潜力用户数/个	17	9	11	17	6

Power substitution potential user identification model based on big data

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