Consumer profiling using clustering methods for georeferenced decision support in a water distribution system-Reference-Cited by-同舟云学术

Consumer profiling using clustering methods for georeferenced decision support in a water distribution system

Published:2022-06-30 Issue: Volume: Page:
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Container-title:2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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Author:

Arsene Diana¹,Predescu Alexandru¹,Truica Ciprian-Octavian¹,Apostol Elena-Simona¹,Mocanu Mariana¹,Chiru Costin¹

Affiliation:

1. Automatic Control and Computers, University Politehnica of Bucharest,Bucharest,Romania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9847306/9847307/09847435.pdf?arnumber=9847435

Reference25 articles.

1. Modeling and Forecasting Short-Term Water Demand Reported by Smart Meters;pesantez;WDSA/CCWI Joint Conference Proceedings,2018

2. Identification, prediction, and explanation of outdoor residential water consumption using smart meter data;platsko;WDSA/CCWI Joint Conference Proceedings,2018

3. A Benchmarking Model for Household Water Consumption Based on Adaptive Logic Networks

4. Effect of price information on residential water demand

5. Determinants of Small-Area Water Consumption for the City of Phoenix, Arizona

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