Supporting data and tools for "An Open-source, Semi-supervised Water End Use Disaggregation and Classification Tool"

Authors:
Nour AttallahCamilo J. Bastidas Pacheco
Owners: Nour Attallah
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Type: Resource
Storage: The size of this resource is 142.3 MB
Created: May 24, 2021 at 6:44 p.m.
Last updated: Jan 30, 2023 at 2:13 p.m. (Metadata update)
Published date: Jan 30, 2023 at 2:13 p.m.
DOI: 10.4211/hs.3143b3b1bdff48e0aaebcb4aedf02feb
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

The files provided here are the supporting data and code files for the analyses presented in "An Open-source, Semi-supervised Water End Use Disaggregation and Classification
Tool" a manuscript submitted to the Journal of Water Resource Planning and Management. The data included in this resource were collected using the CIWS-Logger (https://github.com/UCHIC/CIWS-WM-Logger) data logging device. Cyberinfrastructure for Intelligent Water Supply (CIWS) is an open-source, modular, generalized architecture designed to automate the process from data collection to analysis and presentation of high temporal residential water use data. The CIWS-Logger is a low cost device capable of collecting this type of data on existing, magnetically driven water meters. The code included in this resource (CIWS-Disaggregator) demonstrates a new water end use disaggregation and classification tool that builds on existing end use disaggregation studies and addresses the unavailability of code and data used by prior studies. The tool was developed in Python and can be accessed via any current Python programming environment. It was tested on anonymized, high temporal resolution datasets for five homes selected from a larger dataset for 31 homes located in the Cities of Logan and Providence Utah, USA. Results from different meter types and sizes are presented to demonstrate the accuracy of the tool in disaggregating and classifying high temporal resolution data into individual end use events. The results of this paper are reproducible using openly available code and data, representing an accessible platform for advancing end use disaggregation tools. The tool can be adapted to specific research needs.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Logan and Providence, Utah, USA
North Latitude
41.7666°
East Longitude
-111.7709°
South Latitude
41.6857°
West Longitude
-111.8650°

Temporal

Start Date: 01/01/2019
End Date: 12/31/2020
Leaflet Map data © OpenStreetMap contributors

Content

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Related Resources

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Collection of resources that illustrate data processing methods and computational and modeling libraries in HydroShare and linked JupyterHub computing platforms David Tarboton  Public &  Shareable Open Access

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

Attallah, N., C. J. Bastidas Pacheco (2023). Supporting data and tools for "An Open-source, Semi-supervised Water End Use Disaggregation and Classification Tool", HydroShare, https://doi.org/10.4211/hs.3143b3b1bdff48e0aaebcb4aedf02feb

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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