| 尤宏亮,郭平平,徐晓敏,杨迪,李瑛莉.基于综合用电指数的用户精细画像方法研究[J].电力需求侧管理,2020,22(5):83-87 |
| 基于综合用电指数的用户精细画像方法研究 |
| Research on user’s fine portrait method based on comprehensive electricity consumption index |
| 投稿时间：2020-06-19 修订日期：2020-07-22 |
| DOI：10. 3969 / j. issn. 1009-1831. 2020. 05. 016 |
| 中文关键词: 综合能源服务 综合用电指数 用电情况 用户精细画像 |
| 英文关键词: integrated energy services comprehensive electricity consumption index electricity consumption user’s fine portrait |
| 基金项目:国网江苏省电力有限公司数据增值服务项目（2019011） |
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| 中文摘要: |
| 在能源互联网建设背景下，迫切需要对企业进行全方位用电水平和特征分析，从而优化企业能源消费结构，提升电力企业的综合能源服务水平。首先，采用综合用电指数反映企业的用电情况，从可靠用电、经济用电、绿色用电、智能用电、互动用电、经济宏观景气度和行业景气度等 7 个维度出发，构建多层次、多维度的综合用电指数指标体系；其次，以综合用电指数指标体系为基础构建用户用电情况综合评价模型，准确评估用户的用电水平和效率，实现对企业用户用电情况的层次化、精细化、多维度画像。基于多维度画像结果，分析企业用电情况。最后，选取4个企业进行算例分析，并提出相应的优化建议。本研究方法可以有效指导企业科学用电，为电力企业综合能源业务提供支持。 |
| 英文摘要: |
| In the context of the construction of the energy internet, it is urgent to carry out a comprehensive analysis of the electricity consumption level and characteristics of enterprises, so as to optimize the energy consumption structure of enterprise users and improve the comprehensive service level of power enterprises. First of all, the comprehensive electricity consumption index is adopted to reflect the electricity consumption situation of enterprises. From the seven dimensions of reliable electricity consumption, economic electricity consumption, green electricity consumption, intelligent electricity consumption, interactive electricity consumption, macroeconomic prosperity and industrial prosperity, a multi-level and multi-dimensional comprehensive index system of comprehensive electricity consumption index is constructed. Secondly, based on the comprehensive electricity consumption index system, the comprehensive evaluation model of users’electricity consumption is built to accurately evaluate the electricity consumption level and efficiency of users, and realize the hierarchical, refined and multi-dimensional portrait of the electricity consumption of enterprise users. Based on the multi-dimensional portrait results, the electricity consumption of enterprise users is analyzed. Finally, four enterprises are selected for example analysis, and corresponding suggestions for electricity consumption optimization are put forward. This research method can effectively guide enterprises to use electricity scientifically and provide support for integrated energy service business of power enterprises. |
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