文章摘要
曹 敏,孙子雯,白泽洋,巨 健.电力市场代理交易目标客户群体分析[J].电力需求侧管理,2021,23(1):90-96
电力市场代理交易目标客户群体分析
Analysis on target customer groups of agent transaction in power market
投稿时间:2020-10-28  修订日期:2020-11-23
DOI:DOI:10. 3969 / j. issn. 1009-1831. 2021. 01. 017
中文关键词: 混沌时间序列  支持向量机  用电量预测  用户潜力
英文关键词: chaotic time series  support vector machine  electricity consumption forecast  user potential
基金项目:国网陕西省电力公司2019年市场开拓项目(4600096348)
作者单位
曹 敏 国网陕西省电力公司西安 710000 
孙子雯 南京师范大学南京 210024 
白泽洋 国网西安供电公司西安 710000 
巨 健 国网陕西省电力公司西安 710000 
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中文摘要:
      为协助售电公司提升市场化售电服务质量,利用支持向量机-混沌时间序列模型对陕西省可参与市场化售电的用户用电量进行动态预测。然后根据对未参与市场化用户的用电预测偏差和成本降幅测算结果,对未参与市场化售电的用户进行分析与评估,并给出售电公司开展售电业务的代理建议。最后根据考核要求,利用已参与市场化客户的动态预测偏差值来进一步对客户是否被考核进行预警分析。初步应用结果表明,售电公司从这2方面开展代理业务已取得较好成果,可进一步深化应用。
英文摘要:
      In order to assist the electricity sale company to improve the quality of the market-oriented sale service of electricity, support vector machine-chaotic time series model is used to dynamically predict the electricity consumption of users who can participate in market oriented electricity sales in Shaanxi. Then, users who do not participate in the marketization are analyzed and evaluated according to the calculation results of the deviation of electricity consumption forecast and the decrease of cost. Agent suggestions are given for electricity sale companies to carry out sale business. Finally, according to the requirements of the assessment, the dynamic prediction deviation value of the users who have partici-pated in the marketization is used to further analyze whether the users are assessed or not. The preliminary application results show that the electricity sale company has achieved good results in carrying out agency business from these two aspects, and the application can be further deepened.
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