Water utility management using Data Analytics and Geospatial Analytics for state of Delhi

被引:0
作者
Gupta, Ankita [1 ]
Singhal, Abhishek [1 ]
Sabitha, A. Sai [1 ]
Choudhury, Tanupriya [2 ]
机构
[1] Amity Sch Engn & Technol, Noida, India
[2] UPES, Dehra Dun, India
来源
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND INTERNET OF THINGS (ICGCIOT 2018) | 2018年
关键词
data analytics; clustering; geospat al analysis; water utility; GIS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:26 / 31
页数:6
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