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Norwegian hourly residential electricity demand data with consumer characteristics during the European energy crisis

This dataset was collected to understand how Norwegian households responded to the electricity price shock due to the European energy crisis. It consists of consumer characteristics and their self-reported responses to the extraordinarily high electricity prices which were collected with a survey of...

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Detalles Bibliográficos
Autores principales: Hofmann, Matthias, Bjarghov, Sigurd, Nessa, Stian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618698/
https://www.ncbi.nlm.nih.gov/pubmed/37920386
http://dx.doi.org/10.1016/j.dib.2023.109687
Descripción
Sumario:This dataset was collected to understand how Norwegian households responded to the electricity price shock due to the European energy crisis. It consists of consumer characteristics and their self-reported responses to the extraordinarily high electricity prices which were collected with a survey of 4,446 consumers. The consumer characteristics contain socio-demographic information, such as income, age, education, number of residents, residence type, residence size, and how conscious the respondents were about their electricity consumption. Furthermore, major electricity-consuming appliances were identified, such as whether the residents had an electric vehicle and how they heated their homes, and if they had a dynamic electricity price contract. In addition, the dataset includes hourly metered electricity consumption data covering October 2020 to March 2022 from a subset of 1,136 residential consumers of the surveyed households, the total hourly residential electricity consumption per Norwegian bidding area from July 2019 to July 2022, and the hourly day-ahead electricity prices. These data are interesting to researchers that aim to gain insight into the electricity consumption behaviour of the residential sector and the impact of different socio-demographic variables.