Leak Detection in Smart Water Grids Using EPANET and Machine Learning Techniques-Reference-Cited by-同舟云学术

Leak Detection in Smart Water Grids Using EPANET and Machine Learning Techniques

Published:2021-07-03 Issue:2 Volume:62 Page:71-79
ISSN:0974-7338
Container-title:IETE Journal of Education
language:en
Short-container-title:IETE Journal of Education

Author:

Nagaraj Anirudh¹²^ORCID,Kotamreddy Ganesh Reddy¹³^ORCID,Choudhary Pooja¹⁴,Katiyar Rahul¹⁵,Botre B.A.¹⁴^ORCID

Affiliation:

1. CSIR – Central Electronics Engineering Research Institute, Pilani, Rajasthan 333 031, India

2. Birla Institute of Technology and Science (BITS), K.K. Birla Goa Campus, Pilani, Goa 403 726, India

3. Birla Institute of Technology and Science (BITS), Hyderabad Campus, Pilani, Hyderabad, Telangana 500 078, India

4. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, UP 201 002, India

5. Banasthali Vidyapith, Rajasthan 304 022, India

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/09747338.2021.1984317

Reference34 articles.

1. Rethinking the Framework of Smart Water System: A Review

2. Overview of Energy Management and Leakage Control Systems for Smart Water Grids and Digital Water

3. EPANET 2.2.0: An EPA and Water Community Collaboration. EPA, Environmental Protection Agency, 22 June 2020, Available: www.epa.gov/sciencematters/epanet-220-epa-and-water-community-collaboration.

4. EPANET 2.2 Online User's Manual. Available: https://epanet22.readthedocs.io/en/latest/.

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