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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...

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Detalles Bibliográficos
Autores principales: Valdes, Javier, Ramirez Camargo, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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
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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.
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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
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