Cargando…
Household electricity consumption in Greece: A dataset based on socio-economic features
The electricity consumption of a residence depends on many factors such as the habits and economical status of the occupants, the properties of the household and many more. To shed more light on the subject a data set for households was created. The data were collected in Greece through an anonymous...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293984/ https://www.ncbi.nlm.nih.gov/pubmed/37383765 http://dx.doi.org/10.1016/j.dib.2023.109232 |
_version_ | 1785063101784129536 |
---|---|
author | Mischos, Stavros Gkalinikis, Nikolaos Virtsionis Manolopoulou, Aikaterini Dalagdi, Eleana Zaikis, Dimitrios Lazaridis, Aristotelis Vlachava, Danai Lagouvardos, Kostantinos Vrakas, Dimitrios |
author_facet | Mischos, Stavros Gkalinikis, Nikolaos Virtsionis Manolopoulou, Aikaterini Dalagdi, Eleana Zaikis, Dimitrios Lazaridis, Aristotelis Vlachava, Danai Lagouvardos, Kostantinos Vrakas, Dimitrios |
author_sort | Mischos, Stavros |
collection | PubMed |
description | The electricity consumption of a residence depends on many factors such as the habits and economical status of the occupants, the properties of the household and many more. To shed more light on the subject a data set for households was created. The data were collected in Greece through an anonymous survey that comprises 26 questions, resulting in 188 data points from 104 households from different time periods. Each data point contains attributes that are divided into four categories. In the first category, the information is about the household data such as the type and properties of the residence. Next, occupants’ socio-economic features are gathered. In this category information for the number and type of the occupants, the employment status and the total income of the residents is included. The third category of attributes is about the energy-related occupants’ behavior. Finally, the location of the household was provided from the users to estimate the weather conditions for the provided time. Data augmentation was performed to discover non-trivial relationships between the data points. Thus, a secondary set of features was computed based on the raw attributes and is also included. The provided data set can be used to extract insights that could be valuable during the imminent energy crisis. |
format | Online Article Text |
id | pubmed-10293984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102939842023-06-28 Household electricity consumption in Greece: A dataset based on socio-economic features Mischos, Stavros Gkalinikis, Nikolaos Virtsionis Manolopoulou, Aikaterini Dalagdi, Eleana Zaikis, Dimitrios Lazaridis, Aristotelis Vlachava, Danai Lagouvardos, Kostantinos Vrakas, Dimitrios Data Brief Data Article The electricity consumption of a residence depends on many factors such as the habits and economical status of the occupants, the properties of the household and many more. To shed more light on the subject a data set for households was created. The data were collected in Greece through an anonymous survey that comprises 26 questions, resulting in 188 data points from 104 households from different time periods. Each data point contains attributes that are divided into four categories. In the first category, the information is about the household data such as the type and properties of the residence. Next, occupants’ socio-economic features are gathered. In this category information for the number and type of the occupants, the employment status and the total income of the residents is included. The third category of attributes is about the energy-related occupants’ behavior. Finally, the location of the household was provided from the users to estimate the weather conditions for the provided time. Data augmentation was performed to discover non-trivial relationships between the data points. Thus, a secondary set of features was computed based on the raw attributes and is also included. The provided data set can be used to extract insights that could be valuable during the imminent energy crisis. Elsevier 2023-05-12 /pmc/articles/PMC10293984/ /pubmed/37383765 http://dx.doi.org/10.1016/j.dib.2023.109232 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Mischos, Stavros Gkalinikis, Nikolaos Virtsionis Manolopoulou, Aikaterini Dalagdi, Eleana Zaikis, Dimitrios Lazaridis, Aristotelis Vlachava, Danai Lagouvardos, Kostantinos Vrakas, Dimitrios Household electricity consumption in Greece: A dataset based on socio-economic features |
title | Household electricity consumption in Greece: A dataset based on socio-economic features |
title_full | Household electricity consumption in Greece: A dataset based on socio-economic features |
title_fullStr | Household electricity consumption in Greece: A dataset based on socio-economic features |
title_full_unstemmed | Household electricity consumption in Greece: A dataset based on socio-economic features |
title_short | Household electricity consumption in Greece: A dataset based on socio-economic features |
title_sort | household electricity consumption in greece: a dataset based on socio-economic features |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293984/ https://www.ncbi.nlm.nih.gov/pubmed/37383765 http://dx.doi.org/10.1016/j.dib.2023.109232 |
work_keys_str_mv | AT mischosstavros householdelectricityconsumptioningreeceadatasetbasedonsocioeconomicfeatures AT gkalinikisnikolaosvirtsionis householdelectricityconsumptioningreeceadatasetbasedonsocioeconomicfeatures AT manolopoulouaikaterini householdelectricityconsumptioningreeceadatasetbasedonsocioeconomicfeatures AT dalagdieleana householdelectricityconsumptioningreeceadatasetbasedonsocioeconomicfeatures AT zaikisdimitrios householdelectricityconsumptioningreeceadatasetbasedonsocioeconomicfeatures AT lazaridisaristotelis householdelectricityconsumptioningreeceadatasetbasedonsocioeconomicfeatures AT vlachavadanai householdelectricityconsumptioningreeceadatasetbasedonsocioeconomicfeatures AT lagouvardoskostantinos householdelectricityconsumptioningreeceadatasetbasedonsocioeconomicfeatures AT vrakasdimitrios householdelectricityconsumptioningreeceadatasetbasedonsocioeconomicfeatures |