Study of Machine Learning Algorithms for water meter

Registration ID: IJNRD_188867

Published ID: IJNRD2303241

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T Charumathi , A.Nasreen Banu, B.Pavithra, Dr.M.Kiruthuga devi

Keywords—Water Consumption, Big Data Management, Sensor Network,Android based application,Monitoring,Smart water meter, Usage prediction , Billing.

ABSTRACT--Water conservation is big issue in many apartments. Apartment association should take initiative to send the message of the amount of water consumed to all residents. There are many smart water meter exists to predict the consumption of water. But we hardly use it. There are number of people who have issues in prediction. These systems can predict in real time but they fail to give accurate usage report and billing error. There are various machine learning algorithms such as Linear Regression, Decision Tree, K-Nearest Neighour, Random Forest. Etc. The prediction method is done by the most popular and the best machine learning model and algorithm is Linear Regression. Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. It’s one of the most well- known and well-understood algorithms in statistics and machine learning. Predictive modelling is primarily concerned with minimizing the error of a model or making the most accurate predictions possible, at the expense of explain ability. The Mobile application is developed for smart water meter of pervasiveness (anytime anywhere) to control the water consumption. Smart meter for water utilization provides solution for water issues and it measures the quantity of water consumed by each household and allow the user to monitor the consumption level. While installing this smart water meter we should keep track on the water consumed over the internet. The supply of water can be ended if the residents are not present in their home and it reduces energy consumption directly or indirectly.

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T Charumathi , A.Nasreen Banu, B.Pavithra, & Dr.M.Kiruthuga devi (March-2023). Study of Machine Learning Algorithms for water meter . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(3), c293-c318. https://ijnrd.org/papers/IJNRD2303241.pdf

Volume 8 Issue 3, March-2023

Pages : c293-c318

Paper Reg. ID: IJNRD_188867

Published Paper Id: IJNRD2303241

Research Area: Information Technology 

Author Type: Indian Author

Country: Chennai , Tamilnadu , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303241.pdf

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