|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: April 2024
Volume 9 | Issue 4
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 95
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Study of Machine Learning Algorithms for water meter |
| Authors Name: | T Charumathi , A.Nasreen Banu , B.Pavithra , Dr.M.Kiruthuga devi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_188867
|
| Published Paper Id: | IJNRD2303241 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Keywords—Water Consumption, Big Data Management, Sensor Network,Android based application,Monitoring,Smart water meter, Usage prediction , Billing. |
| Cite Article: | "Study of Machine Learning Algorithms for water meter ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c293-c318, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303241.pdf |
| Downloads: | 000118748 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2303241 Registration ID: 188867 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: c293-c318 Country: Chennai , Tamilnadu , India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303241 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303241 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn