Research on early warning of electric power customers' credit risk based on SVM

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	Research on early warning of electric power customers' credit risk based on SVM
	Wang ZF(王忠锋); Hu, Bo ; Zhang, Tao; Lv, Bo ; Yu, Haifei
	2017
会议名称	36th Chinese Control Conference, CCC 2017
会议日期	July 26-28, 2017
会议地点	Dalian, China
关键词	SVM credit risk early-warning model power market
页码	10209-10213
通讯作者	Wang ZF(王忠锋)
中文摘要	Aiming at the deception phenomena in the electric power market that disorder the power trading, the early warning problem of power users' credit risk in the power market was studied. To solve the problem, an early warning model based on SVM (Support Vector Machine) was purposed. First the evaluation criteria system and grading standard were discussed in detail. Secondly the early warning model based on SVM was built and the optimization of parameters was analyzed. Finally the data of Liaoning Electric Power Co., Ltd., from 2013 to 2016 is chosen as the sample data for verifying and simulating the early-warming model of power customers' credit risk. The results showed the effectiveness of the proposed method.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议主办者	Dalian University of Technology; Systems Engineering Society of China (SESC); Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议录	Proceedings of the 36th Chinese Control Conference, CCC 2017
会议录出版者	IEEE Computer Society
会议录出版地	Piscataway, NJ, USA
语种	英语
ISSN号	1934-1768
ISBN号	978-1-5386-2918-5
WOS记录号	WOS:000432015504030
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/21051]
专题	沈阳自动化研究所_工业控制网络与系统研究室
作者单位	1.State Grid Liaoning Electric Power Co. Ltd., Anshan Power Supply Company, Anshan, 114014, China 2.State Grid Liaoning Electric Power Co. Ltd., Huludao Power Supply Company, Huludao, 125000, China 3.College of Business Administration, Northeastern University, Shenyang, 110169, China 4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
推荐引用方式 GB/T 7714	Wang ZF,Hu, Bo,Zhang, Tao,et al. Research on early warning of electric power customers' credit risk based on SVM[C]. 见:36th Chinese Control Conference, CCC 2017. Dalian, China. July 26-28, 2017.