家庭用电状况作为信用评估的替代数据

Wahyu Haris Kusuma Atmaja, Mohammad Isa, Muhammad Aidil Fahmy
{"title":"家庭用电状况作为信用评估的替代数据","authors":"Wahyu Haris Kusuma Atmaja, Mohammad Isa, Muhammad Aidil Fahmy","doi":"10.1145/3575882.3575950","DOIUrl":null,"url":null,"abstract":"Credit appraisal tools has long taken interest of banking and financial industry, since it is their main business to disbursing loan, make profit from loan interest and keeping non-performing loan minimum. Since then, many researchers try to propose alternative data for credit risk analysis. This research proposed a method to profile electricity customer behavior in order to complement traditional credit-risk analysis data. Five parameters are proposed. Those parameters are representing customer behavior in electricity, which is payment order; purchasing power; power (kWh) usage; compliance, and residence occupancy. Based on our Proof of Concept (PoC) with one of State-Owned Bank, this method largely reduces their evaluation time of debtor from days to minutes.","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Household Electricity Profile as Alternative Data for Credit Appraisal\",\"authors\":\"Wahyu Haris Kusuma Atmaja, Mohammad Isa, Muhammad Aidil Fahmy\",\"doi\":\"10.1145/3575882.3575950\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Credit appraisal tools has long taken interest of banking and financial industry, since it is their main business to disbursing loan, make profit from loan interest and keeping non-performing loan minimum. Since then, many researchers try to propose alternative data for credit risk analysis. This research proposed a method to profile electricity customer behavior in order to complement traditional credit-risk analysis data. Five parameters are proposed. Those parameters are representing customer behavior in electricity, which is payment order; purchasing power; power (kWh) usage; compliance, and residence occupancy. Based on our Proof of Concept (PoC) with one of State-Owned Bank, this method largely reduces their evaluation time of debtor from days to minutes.\",\"PeriodicalId\":367340,\"journal\":{\"name\":\"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3575882.3575950\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3575882.3575950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

信用评估工具长期以来一直是银行和金融业的利益所在,因为它们的主要业务是发放贷款,从贷款利息中获利,将不良贷款降至最低。从那时起,许多研究人员试图为信用风险分析提出替代数据。本研究提出一种分析电力客户行为的方法,以补充传统的信用风险分析数据。提出了五个参数。这些参数表示用户在用电中的行为,即支付顺序;购买力;用电量(kWh);合规性,和居住性。基于我们对某国有银行的概念验证(PoC),该方法将其对债务人的评估时间从几天减少到几分钟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Household Electricity Profile as Alternative Data for Credit Appraisal
Credit appraisal tools has long taken interest of banking and financial industry, since it is their main business to disbursing loan, make profit from loan interest and keeping non-performing loan minimum. Since then, many researchers try to propose alternative data for credit risk analysis. This research proposed a method to profile electricity customer behavior in order to complement traditional credit-risk analysis data. Five parameters are proposed. Those parameters are representing customer behavior in electricity, which is payment order; purchasing power; power (kWh) usage; compliance, and residence occupancy. Based on our Proof of Concept (PoC) with one of State-Owned Bank, this method largely reduces their evaluation time of debtor from days to minutes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信