Supporting data and tools for "Residential Water Meters as Edge Computing Nodes: Disaggregating End Uses and Creating Actionable Information at the Edge"
| Authors: | |
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| Owners: | Nour AttallahJeffery S. Horsburgh |
| Type: | Resource |
| Storage: | The size of this resource is 13.5 MB |
| Created: | Jun 28, 2021 at 11:01 p.m. |
| Last updated: | Aug 04, 2021 at 7:23 p.m. |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 1535 |
| Downloads: | 36 |
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Abstract
The files provided here are the supporting data and code files for the analyses presented in "Residential Water Meters as Edge Computing Nodes: Disaggregating End Uses and Creating Actionable Information ath the Edge," an article submitted to the Sensors journal. The data included in this resource were collected in a field deployment of the Cyberinfrastructure for Intelligent Water Supply (CIWS) Computational Node, an open source, low cost device capable of collecting, processing, and transferring high temporal resolution data on magnetically driven water meters. The code included allows replication of the findings presented in Sections 4.3 and 4.4 of the article, and the raw and processed data included allow for extension of the analyses conducted.
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | 01/14/2021 |
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| End Date: | 02/09/2021 |
Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | CAREER: Cyberinfrastructure for Intelligent Water Supply (CIWS): Shrinking Big Data for Sustainable Urban Water | CBET 1552444 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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