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Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate
The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of i...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160339/ https://www.ncbi.nlm.nih.gov/pubmed/37153123 http://dx.doi.org/10.1016/j.dib.2023.109149 |
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author | Sartori, Igor Walnum, Harald Taxt Skeie, Kristian S. Georges, Laurent Knudsen, Michael D. Bacher, Peder Candanedo, José Sigounis, Anna-Maria Prakash, Anand Krishnan Pritoni, Marco Granderson, Jessica Yang, Shiyu Wan, Man Pun |
author_facet | Sartori, Igor Walnum, Harald Taxt Skeie, Kristian S. Georges, Laurent Knudsen, Michael D. Bacher, Peder Candanedo, José Sigounis, Anna-Maria Prakash, Anand Krishnan Pritoni, Marco Granderson, Jessica Yang, Shiyu Wan, Man Pun |
author_sort | Sartori, Igor |
collection | PubMed |
description | The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of indoor climate and energy use in buildings. The data were acquired by energy meters, both consumption and PV generation, and sensors of technical installation and indoor climate variables, such as temperature, flow rate, relative humidity, CO(2) level, illuminance. Weather variables were either acquired by local sensors or obtained from a close by meteorological station. The data were collected either during normal operation of the building, with observation periods between 2 weeks and 2 months, or during experiments designed to excite the thermal mass of the building, with observation periods of approximately one week. The data have a time resolution varying between 1 min and 15 min; in some case the highest resolution data are also averaged at larger intervals, up to 30 min. |
format | Online Article Text |
id | pubmed-10160339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101603392023-05-06 Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate Sartori, Igor Walnum, Harald Taxt Skeie, Kristian S. Georges, Laurent Knudsen, Michael D. Bacher, Peder Candanedo, José Sigounis, Anna-Maria Prakash, Anand Krishnan Pritoni, Marco Granderson, Jessica Yang, Shiyu Wan, Man Pun Data Brief Data Article The data presented here were collected independently for 6 real buildings by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of indoor climate and energy use in buildings. The data were acquired by energy meters, both consumption and PV generation, and sensors of technical installation and indoor climate variables, such as temperature, flow rate, relative humidity, CO(2) level, illuminance. Weather variables were either acquired by local sensors or obtained from a close by meteorological station. The data were collected either during normal operation of the building, with observation periods between 2 weeks and 2 months, or during experiments designed to excite the thermal mass of the building, with observation periods of approximately one week. The data have a time resolution varying between 1 min and 15 min; in some case the highest resolution data are also averaged at larger intervals, up to 30 min. Elsevier 2023-04-13 /pmc/articles/PMC10160339/ /pubmed/37153123 http://dx.doi.org/10.1016/j.dib.2023.109149 Text en © 2023 The Authors. Published by Elsevier Inc. https://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 Sartori, Igor Walnum, Harald Taxt Skeie, Kristian S. Georges, Laurent Knudsen, Michael D. Bacher, Peder Candanedo, José Sigounis, Anna-Maria Prakash, Anand Krishnan Pritoni, Marco Granderson, Jessica Yang, Shiyu Wan, Man Pun Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate |
title | Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate |
title_full | Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate |
title_fullStr | Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate |
title_full_unstemmed | Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate |
title_short | Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate |
title_sort | sub-hourly measurement datasets from 6 real buildings: energy use and indoor climate |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160339/ https://www.ncbi.nlm.nih.gov/pubmed/37153123 http://dx.doi.org/10.1016/j.dib.2023.109149 |
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