| 陈新崛,吴飞,孔月萍,庞芹,李洁莹,韩琳.售电侧放开背景下电力大客户需求识别研究[J].电力需求侧管理,2019,21(2):66-70 |
| 售电侧放开背景下电力大客户需求识别研究 |
| Research on demand analysis of electric power customers based on market competition |
| 投稿时间：2018-10-31 修订日期：2018-11-08 |
| DOI：10.3969/j.issn.1009-1831.2019.02.014 |
| 中文关键词: 客户细分 需求分层 需求识别 聚类分析 |
| 英文关键词: customer segmentation demand hierarchy demand recognition cluster analysis |
| 基金项目:国网江苏省电力公司科技项目（J2017032） |
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| 摘要点击次数: 2417 |
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| 中文摘要: |
| 随着售电侧的逐步放开及“互联网+”的不断发展，电力客户差异化、个性化需求凸显，且对电能产品和服务将拥有更多自主选择权，传统电力公司面临客户流失的风险，亟待以客户分类为基础对需求特征进行深入研究，为电力公司更精准的满足用户需求提供基础。首先选取电量、电价、容量等指标维度对大客户进行K均值聚类，将客户分为五大类，其次通过大客户服务工单、客户调研等方式获取客户需求，并根据业务类型、客户感知等对需求进行分层整理，最后基于客户聚类分析结果，识别了各类别客户具体的用电需求和需求分层情况，并提出资源配置建议，以期为未来服务策略优化提供现实依据。 |
| 英文摘要: |
| With the gradual liberalization of the power selling side and the continuous development o“f Internet+”, the energy demand of customers is going to be diversified and personalized.Customers are able to have more choices for power products and services，traditional power companies will face the risk of customers lose.For meeting the customers’needs more precisely, traditional power companies need to conduct further research on the characteristics of the customers’demands on the basis of the customer segmentation. Firstly, K means clustering method based on the electricity、electrovalency、capacity and other dimensions is used, to divide customers into five categories. Secondly, customer demands are obtained by the way such as key account service orders and customer surveys, and customer demands are segmented into five hierarchy according to business types and customer perception. Finally, the specific demand and hierarchy of needs for all types of customers are identified, and advise on the service resource allocation is given, to provide a basis for developing service strategies. |
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