国外电力客户服务经验及对我国电力客户服务的启示

详细信息    查看全文 | 推荐本文 |

英文篇名：Experience of Foreign Power Customer Service and Its Inspiration for China 作者：吉建兵 ; 吉杨 ; 郑华 英文作者：JI Jianbing;JI Yang;ZHENG Hua;Liaoning Dongfang Power Generation Co., Ltd.;Electric Power Research Institute of State Grid Tianjin Electric Power Co.;College of Electrical and Electronic Engineering,North China Electric Power University; 关键词：国外 ; 电力客户服务 ; 经验 ; 启示 英文关键词：foreign;;power customer service;;experience;;inspiration 中文刊名：JISU 英文刊名：Northeast Electric Power Technology 机构：国家电投辽宁东方发电有限公司;国网天津市电力公司电力科学研究院;华北电力大学电气与电子工程学院; 出版日期：2019-03-20 出版单位：东北电力技术 年：2019 期：v.40;No.429 语种：中文; 页：JISU201903019 页数：4 CN：03 ISSN：21-1282/TM 分类号：63-66

摘要

随着电力市场化改革以及能源互联网的深入推进,当前我国电力客户服务模式还难以适应市场竞争环境和互联网模式下的电力客户服务需求。在分析当前我国电力客户服务面临的新趋势的基础上,总结国外先进成熟的电力客户服务模式,从核心服务、增值服务和服务模式创新三方面进行归纳和解读,提出其经验对于我国电力客户服务的启示。
        With the power market reform and the further development of the energy internet,the mode of power customer service in China have trouble in the environment of market competition and power customer service requirements under the internet model.It is based on the analysis of the new trend of power customer service in China. It summarizes the advanced and mature modes of power customer service abroad. It generalizes and interprets the modes in core services, value-added services and innovation of service modes.It puts forward the inspiration of the experience for the power customer service in China.

引文

[1] 郑璐璐,王鹏举.典型电力客户实施“一户一策”电费管理的研究[J].东北电力技术,2017,38(2):38-40,46.
    [2] 赵晨,尹玉芬.电力体制改革下工业用电客户差异化管理策略[J].电力与能源,2018,3(5):708-713.
    [3] 卢海明,刘建鑫.基于改进ELM神经网络的客户满意度评价模型[J].东北电力技术,2016,37(7):39-43.
    [4] 黄建辉.电力客户满意度动态测评模型[J].东北电力技术,2008,29(10):43-46.
    [5] 王成亮,郑海雁.基于模糊聚类的电力客户用电行为模式画像[J].电测与仪表,2018,55(18):77-81.
    [6] 刘志欣,黄旭,魏加项,等.基于负面清单管理模式的电力客户服务评价方法[J].电测与仪表,2018,55(17):134-140.
    [7] Lee J,Choi B.Energy-efficient coverage of wireless sensor networks using ant colony optimization with three types of pheromones[J].IEEE Trans on Industrial Informatics,2011,7(3):419-427.
    [8] 赵少东,王程斯.基于熵值法的电力客户敏感度综合评价模型研究[J].电工技术,2018(11):43-45,48.
    [9] 卢海明,孟安波.环保节能下的电力客户价值评价[J].东北电力技术,2017,38(1):50-53,57.
    [10] Zhang L,Cao Q.A novel ant-based clustering algorithm using the kernel method[J].Information Sciences,2011,181(20):4658-4672.
    [11] Kumar G,Haq A.Hybrid genetic-ant colony algorithms for solving aggregate production plan[J].Journal of Advanced Manufacturing System,2005,4(1):103-111.
    [12] 卢建昌,韩红领,刘天宝,等.基于模糊积分的电力客户满意度综合评价[J].电网技术,2008,32(1):67-70.
    [13] 曹清山,郑梦莲,丁一,等.新电改背景下基于多属性决策的电力客户评估和选择研究[J].电网技术,2018,42(1):117-126.