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Synthetic hourly electricity load data for the paper and food industries
The data set includes hourly time series for a period of one year of electricity demand of three different types of industries. The industries include a small food processing company, one small paper industry and one medium-large paper producing company. The data have been synthetized from two years...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024589/ https://www.ncbi.nlm.nih.gov/pubmed/33850978 http://dx.doi.org/10.1016/j.dib.2021.106903 |
_version_ | 1783675341186793472 |
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author | Valdes, Javier Ramirez Camargo, Luis |
author_facet | Valdes, Javier Ramirez Camargo, Luis |
author_sort | Valdes, Javier |
collection | PubMed |
description | The data set includes hourly time series for a period of one year of electricity demand of three different types of industries. The industries include a small food processing company, one small paper industry and one medium-large paper producing company. The data have been synthetized from two years of measured data from industries in Chile using a comprehensive clustering analysis. The synthetic data possess the same statistical characteristics as the measured data but are provided normalized to one kWh and anonymized in order to be used without confidentiality issues. The data were originally used in the associated paper [1] to assess the demand side management potential of the industries but these can be used for further energy system modelling exercises including these types of industries. |
format | Online Article Text |
id | pubmed-8024589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-80245892021-04-12 Synthetic hourly electricity load data for the paper and food industries Valdes, Javier Ramirez Camargo, Luis Data Brief Data Article The data set includes hourly time series for a period of one year of electricity demand of three different types of industries. The industries include a small food processing company, one small paper industry and one medium-large paper producing company. The data have been synthetized from two years of measured data from industries in Chile using a comprehensive clustering analysis. The synthetic data possess the same statistical characteristics as the measured data but are provided normalized to one kWh and anonymized in order to be used without confidentiality issues. The data were originally used in the associated paper [1] to assess the demand side management potential of the industries but these can be used for further energy system modelling exercises including these types of industries. Elsevier 2021-02-20 /pmc/articles/PMC8024589/ /pubmed/33850978 http://dx.doi.org/10.1016/j.dib.2021.106903 Text en © 2021 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Valdes, Javier Ramirez Camargo, Luis Synthetic hourly electricity load data for the paper and food industries |
title | Synthetic hourly electricity load data for the paper and food industries |
title_full | Synthetic hourly electricity load data for the paper and food industries |
title_fullStr | Synthetic hourly electricity load data for the paper and food industries |
title_full_unstemmed | Synthetic hourly electricity load data for the paper and food industries |
title_short | Synthetic hourly electricity load data for the paper and food industries |
title_sort | synthetic hourly electricity load data for the paper and food industries |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024589/ https://www.ncbi.nlm.nih.gov/pubmed/33850978 http://dx.doi.org/10.1016/j.dib.2021.106903 |
work_keys_str_mv | AT valdesjavier synthetichourlyelectricityloaddataforthepaperandfoodindustries AT ramirezcamargoluis synthetichourlyelectricityloaddataforthepaperandfoodindustries |