Ankita Gupta, Abhishek Singhal, A. Sabitha, T. Choudhury
{"title":"Water utility management using Data Analytics and Geospatial Analytics for state of Delhi","authors":"Ankita Gupta, Abhishek Singhal, A. Sabitha, T. Choudhury","doi":"10.1109/ICGCIOT.2018.8752970","DOIUrl":null,"url":null,"abstract":"Over the years the utility-customer relationship has rapidly transformed with vast number of factors affecting consumption including environmental factors like geography, weather, population, migration etc. Over the years the utility-customer relationship has rapidly transformed with vast number of factors affecting consumption including environmental factors like geography, weather, population, migration etc. The research work focuses on implementing a data driven approach towards understanding the water utility management, finding loopholes in demand supply patterns and customer base analysis using data analytics methods and geospatial approach. The first half focuses research work aims at understanding the water utility consumption in metropolitan city of parts of City of Delhi, using data analytics that aims at understanding per household consumption of consumers and segmentation of customers based on customer profiling.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGCIOT.2018.8752970","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
Over the years the utility-customer relationship has rapidly transformed with vast number of factors affecting consumption including environmental factors like geography, weather, population, migration etc. Over the years the utility-customer relationship has rapidly transformed with vast number of factors affecting consumption including environmental factors like geography, weather, population, migration etc. The research work focuses on implementing a data driven approach towards understanding the water utility management, finding loopholes in demand supply patterns and customer base analysis using data analytics methods and geospatial approach. The first half focuses research work aims at understanding the water utility consumption in metropolitan city of parts of City of Delhi, using data analytics that aims at understanding per household consumption of consumers and segmentation of customers based on customer profiling.