云测度的电力营销状态评估与预警模型分析
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摘要
电力是现代社会发展的重要资源,而为了满足不断增长的电力需求,电力单位需要对自身的电力营销进行改革。但为了避免偏差,电力单位需要结合现代网络信息技术来引导改革方向。通过信息网络技术的结合,能够使得电力单位的电力营销信息化,并实现复杂信息之间的低损耗转换、降低信息认知过程中的损耗的功能。为了分析电力营销与信息化技术的实际应用,基于云测度技术建立了电力营销状态评估预警模型,提出并实现了评估等级区间界限的软化及评估因子定性、定量表示的低损耗转换。最终,为了验证提出的设计思路,用相应的算例来对此进行分析,进而验证设计的有效性、实用性。
Electricity is an important resource for the development of modern society.In order to meet the increasing demand for electricity,power companies need to promote their own power marketing reforms.However,in order to avoid deviations in the direction of reform,power units need to combine modern network information technology to guide the direction of reform.Through the combination of information network technology,it can make the power unit's power marketing informatization,and realize the function of low loss conversion between complex information and reduce the loss in the process of information recognition.In the practical application of marketing and information technology,based on cloud measurement technology we established a power marketing state assessment and early warning model to achieve the evaluation of the softening of the grade interval limits,and qualitative discription of low loss conversion of the evaluation factor.At the end,in order to verify the design ideas of this paper,corresponding examples were used to analyze this method,and then the validity and practicability of the design is confirmed.
Electricity is an important resource for the development of modern society.In order to meet the increasing demand for electricity,power companies need to promote their own power marketing reforms.However,in order to avoid deviations in the direction of reform,power units need to combine modern network information technology to guide the direction of reform.Through the combination of information network technology,it can make the power unit's power marketing informatization,and realize the function of low loss conversion between complex information and reduce the loss in the process of information recognition.In the practical application of marketing and information technology,based on cloud measurement technology we established a power marketing state assessment and early warning model to achieve the evaluation of the softening of the grade interval limits,and qualitative discription of low loss conversion of the evaluation factor.At the end,in order to verify the design ideas of this paper,corresponding examples were used to analyze this method,and then the validity and practicability of the design is confirmed.
引文
[1]卢美玲,姚文军,张凯伦,等.基于云测度的电力营销状态评估及预警模型研究[J].电工文摘,2015(6):8-10.
[2]赵海燕,李娟.上市公司财务风险预警模型研究——基于未确知测度模型[J].财会通讯,2015(4):36-38.
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[4]施健,缪巍巍,吴海洋.基于LS-SVM的电力通信网性能劣化评估与预测模型研究[J].计算机与数字工程,2016,44(4):610-614.
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[8]费金龙,王禹,王天鹏,等.基于云模型的网络异常流量检测[J].计算机工程,2017,43(1):178-182.
[9]张凌宇,邹游,师永博,等.电力大工业用户远程费控策略"开关"模型[J].电测与仪表,2017,54(18):79-82.
[10]赵婷婷,陈万义.基于信用消费行为的商业银行零售业务信用风险再评估[J].金融理论与实践,2016(12):75-79.
[11]殷樱,宋良荣,唐惠贤.商业银行信用卡业务发展与风险管理[J].技术经济与管理研究,2014(2):62-66.
[12]陆慧,梁林森.新型电力营销工作质量在线评价模式探讨[J].中国高新技术企业,2015(15):36-38.
[13]杨晓东,陈思慧,徐峰.基于业务稽查的营销服务质量综合评价机制探析[J].中国电力教育,2014(15):176-177.
[14]雷毅,邓涛,陈旻瑞.基于大数据绿通车快速抽检系统的设计与实现[J].中国交通信息化,2015(9):114-115.
[15]彭涛,叶利.电网公司客户服务中心大数据应用研究[J].电力信息与通信技术,2015,13(3):22-26.
[16]王志坚.基于大数据平台的电力营销信息化建设分析[J].内蒙古电力技术,2016,34(4):17-22.
[2]赵海燕,李娟.上市公司财务风险预警模型研究——基于未确知测度模型[J].财会通讯,2015(4):36-38.
[3]罗永勤,周景,武国亮,等.基于聚类算法的电网覆冰灾害分级预警模型研究[J].内蒙古电力技术,2015(1):13-16.
[4]施健,缪巍巍,吴海洋.基于LS-SVM的电力通信网性能劣化评估与预测模型研究[J].计算机与数字工程,2016,44(4):610-614.
[5]靳国素,陈丹,岳云力.基于供电可靠性的现代配电网评估预测模型研究[J].华北电力技术,2015(10):7-13.
[6]丁业豪,麦琪.电力市场用电量需求分析预测模型研究[J].电测与仪表,2017,54(14):14-23.
[7]孙捐利.基于云模型的短时网络流量预测方法研究[J].武警工程大学学报,2015(4):47-51.
[8]费金龙,王禹,王天鹏,等.基于云模型的网络异常流量检测[J].计算机工程,2017,43(1):178-182.
[9]张凌宇,邹游,师永博,等.电力大工业用户远程费控策略"开关"模型[J].电测与仪表,2017,54(18):79-82.
[10]赵婷婷,陈万义.基于信用消费行为的商业银行零售业务信用风险再评估[J].金融理论与实践,2016(12):75-79.
[11]殷樱,宋良荣,唐惠贤.商业银行信用卡业务发展与风险管理[J].技术经济与管理研究,2014(2):62-66.
[12]陆慧,梁林森.新型电力营销工作质量在线评价模式探讨[J].中国高新技术企业,2015(15):36-38.
[13]杨晓东,陈思慧,徐峰.基于业务稽查的营销服务质量综合评价机制探析[J].中国电力教育,2014(15):176-177.
[14]雷毅,邓涛,陈旻瑞.基于大数据绿通车快速抽检系统的设计与实现[J].中国交通信息化,2015(9):114-115.
[15]彭涛,叶利.电网公司客户服务中心大数据应用研究[J].电力信息与通信技术,2015,13(3):22-26.
[16]王志坚.基于大数据平台的电力营销信息化建设分析[J].内蒙古电力技术,2016,34(4):17-22.