Ioannis Mamalikidis, Christos Karapiperis, L. Angelis, Grigorios Tsoumakas, I. Vlahavas
{"title":"Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company","authors":"Ioannis Mamalikidis, Christos Karapiperis, L. Angelis, Grigorios Tsoumakas, I. Vlahavas","doi":"10.1145/3139367.3139406","DOIUrl":null,"url":null,"abstract":"In this short paper, we use machine learning methods to maximise the efficiency in the Hellenic Electricity Distribution Network Operator (HEDNO) S.A.'s project management by predicting which upcoming projects are going to be paid by the customer, thus enabling the company to fetch all needed materials in time, and to avoid unwanted delays in the operations of the company.","PeriodicalId":436862,"journal":{"name":"Proceedings of the 21st Pan-Hellenic Conference on Informatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st Pan-Hellenic Conference on Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3139367.3139406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this short paper, we use machine learning methods to maximise the efficiency in the Hellenic Electricity Distribution Network Operator (HEDNO) S.A.'s project management by predicting which upcoming projects are going to be paid by the customer, thus enabling the company to fetch all needed materials in time, and to avoid unwanted delays in the operations of the company.