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Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014
With the cost of consuming resources increasing (both economically and ecologically), homeowners need to find ways to curb consumption. The Almanac of Minutely Power dataset Version 2 (AMPds2) has been released to help computational sustainability researchers, power and energy engineers, building sc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896126/ https://www.ncbi.nlm.nih.gov/pubmed/27271937 http://dx.doi.org/10.1038/sdata.2016.37 |
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author | Makonin, Stephen Ellert, Bradley Bajić, Ivan V. Popowich, Fred |
author_facet | Makonin, Stephen Ellert, Bradley Bajić, Ivan V. Popowich, Fred |
author_sort | Makonin, Stephen |
collection | PubMed |
description | With the cost of consuming resources increasing (both economically and ecologically), homeowners need to find ways to curb consumption. The Almanac of Minutely Power dataset Version 2 (AMPds2) has been released to help computational sustainability researchers, power and energy engineers, building scientists and technologists, utility companies, and eco-feedback researchers test their models, systems, algorithms, or prototypes on real house data. In the vast majority of cases, real-world datasets lead to more accurate models and algorithms. AMPds2 is the first dataset to capture all three main types of consumption (electricity, water, and natural gas) over a long period of time (2 years) and provide 11 measurement characteristics for electricity. No other such datasets from Canada exist. Each meter has 730 days of captured data. We also include environmental and utility billing data for cost analysis. AMPds2 data has been pre-cleaned to provide for consistent and comparable accuracy results amongst different researchers and machine learning algorithms. |
format | Online Article Text |
id | pubmed-4896126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48961262016-06-08 Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014 Makonin, Stephen Ellert, Bradley Bajić, Ivan V. Popowich, Fred Sci Data Data Descriptor With the cost of consuming resources increasing (both economically and ecologically), homeowners need to find ways to curb consumption. The Almanac of Minutely Power dataset Version 2 (AMPds2) has been released to help computational sustainability researchers, power and energy engineers, building scientists and technologists, utility companies, and eco-feedback researchers test their models, systems, algorithms, or prototypes on real house data. In the vast majority of cases, real-world datasets lead to more accurate models and algorithms. AMPds2 is the first dataset to capture all three main types of consumption (electricity, water, and natural gas) over a long period of time (2 years) and provide 11 measurement characteristics for electricity. No other such datasets from Canada exist. Each meter has 730 days of captured data. We also include environmental and utility billing data for cost analysis. AMPds2 data has been pre-cleaned to provide for consistent and comparable accuracy results amongst different researchers and machine learning algorithms. Nature Publishing Group 2016-06-07 /pmc/articles/PMC4896126/ /pubmed/27271937 http://dx.doi.org/10.1038/sdata.2016.37 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Makonin, Stephen Ellert, Bradley Bajić, Ivan V. Popowich, Fred Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014 |
title | Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014 |
title_full | Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014 |
title_fullStr | Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014 |
title_full_unstemmed | Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014 |
title_short | Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014 |
title_sort | electricity, water, and natural gas consumption of a residential house in canada from 2012 to 2014 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896126/ https://www.ncbi.nlm.nih.gov/pubmed/27271937 http://dx.doi.org/10.1038/sdata.2016.37 |
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